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How to List Research Experience on Your Resume

Applying for a role that requires research skills? Here’s how to list your research experience on a resume, with examples you can follow.

3 years ago   •   7 min read

Research experience isn’t just for science and academia. Research is a valuable skill that’s required for a number of roles and industries, which means it almost certainly has a place on your resume. And no — that doesn’t mean writing “research” in your skills section and moving on.

Why you should list research experience on your resume

If you’re applying for a job that involves research, listing research experience is a no-brainer. Research-specific positions, scientific jobs like Research Assistants , Lab Assistants or Technicians, graduate school applications, and most jobs in academia all require evidence of research skills. Even outside these positions, research experience demonstrates valuable transferable skills, like critical thinking and attention to detail . Which is not to say that you need to include research experience on every resume — if it makes you a stronger candidate, include it, but if it isn’t relevant and doesn’t add anything else to your candidacy, leave it off.

Research experience resume example

Before we dive right in, here's a sample resume that emphasizes research skills. You can use this as a template or as inspiration to write your own resume from scratch.

Download: PDF | Google Docs

How to list research experience in your resume

Like a lot of desirable skills, research is a soft skill , meaning it’s not something you can claim as an objective fact on your resume without backing it up. What you can do instead is prove it — what previous role involved a lot of research? What resume accomplishments do you have that highlight your research experience? Showing how you used research skills in action is the best way to demonstrate the value you could bring to the company and role you’re applying for.

There are a number of ways you can highlight research experience on your resume:

In a dedicated section

In your work experience, in your education section, listing research publications, in a projects section, in your skills section, in your resume summary.

Let's take a look at each of these options in a little more depth. But first, let's look at an annotated example to help set the context.

If you come from a research background, you might want to title your work experience ‘Research.’ Alternatively, you could create two experience sections — one titled ‘Work Experience’ and one titled ‘Research Experience’ — if you also have a lot of non-research experience but want to highlight your most relevant experience first. You can go into more detail when applying for a research-focused role by describing the project and specifying the nature of the research and your role in it.

More information: How to title different sections of your resume

Including research experience in your main work experience section is appropriate if it was paid work or if it was your most recent and relevant experience. List the employer — for example, the university or research department — job title, dates, and accomplishments, just like you would any other work experience.

More information: How to list your work experience on your resume

If you’re a current student or recent graduate, you can list your education section at the top of your resume. You can also make this section a little more comprehensive if you don’t have a lot of work experience, by including things like awards, coursework, and academic research.

If you undertook research as part of your studies and it demonstrates skills relevant to the job you’re applying for, list your research accomplishments in bullet points under the education section of your resume.

More information: The must-haves when writing your education on your resume

If you have a lot of publications that came out of your research, and you want to draw attention to them — and if they’re relevant to the job you’re applying for — consider creating a separate publications section . Formal publications like these are an excellent way to add credibility to your research experience.

List each publication in a new bullet point with the title, year, and name of the magazine, website, or journal. Academic publications can be listed more formally if it’s relevant, like if you’re applying for graduate school or a role in academia.

When it comes to listing research on your resume, like other soft skills, you need to show you’ve used this skill in your previous roles by showcasing your research related accomplishments. Upload your resume to the tool below to find out if your resume highlights your most relevant research experience and achievements.

If your research experience is less extensive or wasn’t quite relevant enough to include alongside your work experience or education, you can still highlight it in a projects section. Keep this brief and include 1-2 bullet points showcasing your key research accomplishments.

More information: How to list projects on a resume

Research skills can go in your skills section — as long as they’re hard skills. Steer clear of listing generic skills like “Research” — instead, use our keyword finder to look for relevant skills and keywords and include specific hard skills like data analysis, project management, software proficiency, and certifications.

You can also use the skills search tool below to get a list of hard skills relevant to the research-focused role you’re applying for.

More information: How to write a resume skills section

If you’re applying for a position where research experience is essential, consider emphasizing your experience by including a short resume summary at the top of your resume. This should include the title of the job you’re applying for and a brief overview of your background and key skills.

More information: Generate a summary for your resume

Examples of listing research experience on your resume

No matter where you choose to include it, always list research experience in concise, accomplishment-focused bullet points . These should follow the structure of action verb + what you did + what the result was. Here are some examples of resume bullet points you can use or modify to suit your own research experiences.

Highlight research projects

• Assisted with cell development research projects as part of the Leukemia Research team — identifying cell changes, determining cell counts and coulter counters with 98% accuracy.

If you have significant research experience, describe it! The more relevant it is to the position you’re applying for, the more detail you can go into. Make sure to specify exactly what stages of research you worked on and what your contribution was.

Mention awards for your research

• Awarded “Total Quality Award” in recognition of consistent high standards of quality work for research excellence (only 3 awarded in class of 500).

If the high quality of your work has been acknowledged by an award, early promotion , or similar outside recognition, include it! In addition to the name of the award or accolade, don’t forget to specify context (e.g. 'out of class of 500 people' to increase its credibility.

Demonstrate technical expertise

• Created over 75 3D models with CAD tools such as Solidworks and ANSYS.

If you have experience with specific software or tools that you’ll be using in the position you’re applying for, include a bullet point accomplishment specifying how you’ve used them. While this isn't direct 'research' experience, it uses tools that are relevant to research projects — this is a good way of showing that you have research skill sets without having formal research experience.

Use 'research-focused' action verbs

• Researched and edited two articles and one book chapter on prenatal substance abuse, policy implication of Human Genome Project.

Use action verbs like "Researched" or "Scoured" which clearly emphasize research skills. In some cases (like in this example), you can list publications in your bullet points itself. If you’ve authored academic papers, books, or articles, this is a great way to show the validity and importance of your research.

Include accomplishments related to research studies

• Oversaw screening and recruitment of over 100 participants to study, liaised with laboratory personnel and site coordinators to ensure study is completed on time with 100% success.

Not all research positions involve pure research. Make sure you highlight appropriate related accomplishments, like managing research study participant data and enrolments or managing a team of research assistants.

Include accomplishments relating to research in your field

• Conducted legal research; organized and analyzed data and evidence for over 50 cases annually.

If research is part of the job description, make sure you include at least one bullet point highlighting how you’ve used those skills in the past. Including metrics, like the number of cases you’ve researched, contextualizes your accomplishments and helps them stand out.

• Conducted marketing research for both buy-side and sell-side resulting in 15 strong leads.

Research isn’t just limited to science and academia. Demonstrate your skills in action by the context and end results of your research, like the number of leads it generated or the increase in sales figures.

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Princeton Correspondents on Undergraduate Research

Tips for Writing about Your Research Experience (Even if You Don’t Think You Have Any)

If you’re someone who hasn’t yet done formal research in a university setting, one of the most intimidating parts of the process can be simply getting your foot in the door. Just like the way your options can seem very limited when applying for your first job, asking for a research position when you have no “experience” can seem discouraging — maybe even to the point of causing you to question whether you should apply in the first place. With that being said, there are some simple tips you can employ when applying for research positions to highlight the link between your existing interests and the work of the position for which you are applying.

First things first: tailor not just your cover letter (for applications that ask for it) but your resume to the position for which you are applying. Even if you’re just sending a casual email to a professor to ask about the research that they’re doing, as a rule, it never hurts to attach your resume. I also like to think that submitting a resume even without being asked to shows that you’re serious about doing research, and have taken the time to put together a thoughtful inquiry into a position. If you’ve never written a cover letter or resume before, don’t fret. The Center for Career Development has some great online resources to help you create one from scratch. If you are looking for more individualized help, you can also schedule an appointment to get one-on-one feedback on your application at any stage in the writing process.

One of the things that I’ve found, however, is that the single-page format of a resume often isn’t enough space to include all of the information about every single thing you’ve ever done. Rather than trying to jam as many impressive accomplishments as you can onto a page, your goal should be to create a resume that gives a cumulative sense of your interests and experiences as they relate to the position for which you are applying. One of my favorite ways to do this is to create a “Research” section. “But Kate, what if I don’t have any research experience?,” you ask. Remember that paper you wrote about a painting by Monet in your favorite class last semester? Write the title down, or even a sentence or two that summarizes your main argument. The art museum you’re hoping to do research at will love knowing that your interest in their current exhibition on Impressionism is rooted in classes you’ve taken and the projects you’ve done in them, no matter how new you may be to a topic. Your interest in a specific research position has to come from somewhere, and your resume is an important part of demonstrating this to others.

What I would like to reassure you of is that it’s normal to be an undergraduate with very little research experience. The people reading your application —whether it be for an official program or even if it’s just a friendly email with a few questions— know that you are a student and will probably be excited to offer you guidance on how to get involved with more specific research projects even if all you have to offer at this point is enthusiasm for the topic. Working in a lab or with a professor on a research project is an opportunity designed to help you learn above all else, so it’s ok if you don’t know what you’re doing! It goes without saying that having little experience will make the final result of your research experience all the more worthwhile because of the potential to gain knowledge in ways you haven’t even imagined.

— Kate Weseley-Jones, Humanities Correspondent

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Home Market Research

Data Analysis in Research: Types & Methods

Content Index

Why analyze data in research?

Types of data in research, finding patterns in the qualitative data, methods used for data analysis in qualitative research, preparing data for analysis, methods used for data analysis in quantitative research, considerations in research data analysis, what is data analysis in research.

Definition of research in data analysis: According to LeCompte and Schensul, research data analysis is a process used by researchers to reduce data to a story and interpret it to derive insights. The data analysis process helps reduce a large chunk of data into smaller fragments, which makes sense. 

Three essential things occur during the data analysis process — the first is data organization . Summarization and categorization together contribute to becoming the second known method used for data reduction. It helps find patterns and themes in the data for easy identification and linking. The third and last way is data analysis – researchers do it in both top-down and bottom-up fashion.

LEARN ABOUT: Research Process Steps

On the other hand, Marshall and Rossman describe data analysis as a messy, ambiguous, and time-consuming but creative and fascinating process through which a mass of collected data is brought to order, structure and meaning.

We can say that “the data analysis and data interpretation is a process representing the application of deductive and inductive logic to the research and data analysis.”

Researchers rely heavily on data as they have a story to tell or research problems to solve. It starts with a question, and data is nothing but an answer to that question. But, what if there is no question to ask? Well! It is possible to explore data even without a problem – we call it ‘Data Mining’, which often reveals some interesting patterns within the data that are worth exploring.

Irrelevant to the type of data researchers explore, their mission and audiences’ vision guide them to find the patterns to shape the story they want to tell. One of the essential things expected from researchers while analyzing data is to stay open and remain unbiased toward unexpected patterns, expressions, and results. Remember, sometimes, data analysis tells the most unforeseen yet exciting stories that were not expected when initiating data analysis. Therefore, rely on the data you have at hand and enjoy the journey of exploratory research. 

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Every kind of data has a rare quality of describing things after assigning a specific value to it. For analysis, you need to organize these values, processed and presented in a given context, to make it useful. Data can be in different forms; here are the primary data types.

• Qualitative data: When the data presented has words and descriptions, then we call it qualitative data . Although you can observe this data, it is subjective and harder to analyze data in research, especially for comparison. Example: Quality data represents everything describing taste, experience, texture, or an opinion that is considered quality data. This type of data is usually collected through focus groups, personal qualitative interviews , qualitative observation or using open-ended questions in surveys.
• Quantitative data: Any data expressed in numbers of numerical figures are called quantitative data . This type of data can be distinguished into categories, grouped, measured, calculated, or ranked. Example: questions such as age, rank, cost, length, weight, scores, etc. everything comes under this type of data. You can present such data in graphical format, charts, or apply statistical analysis methods to this data. The (Outcomes Measurement Systems) OMS questionnaires in surveys are a significant source of collecting numeric data.
• Categorical data: It is data presented in groups. However, an item included in the categorical data cannot belong to more than one group. Example: A person responding to a survey by telling his living style, marital status, smoking habit, or drinking habit comes under the categorical data. A chi-square test is a standard method used to analyze this data.

Learn More : Examples of Qualitative Data in Education

Data analysis in qualitative research

Data analysis and qualitative data research work a little differently from the numerical data as the quality data is made up of words, descriptions, images, objects, and sometimes symbols. Getting insight from such complicated information is a complicated process. Hence it is typically used for exploratory research and data analysis .

Although there are several ways to find patterns in the textual information, a word-based method is the most relied and widely used global technique for research and data analysis. Notably, the data analysis process in qualitative research is manual. Here the researchers usually read the available data and find repetitive or commonly used words. 

For example, while studying data collected from African countries to understand the most pressing issues people face, researchers might find  “food”  and  “hunger” are the most commonly used words and will highlight them for further analysis.

LEARN ABOUT: Level of Analysis

The keyword context is another widely used word-based technique. In this method, the researcher tries to understand the concept by analyzing the context in which the participants use a particular keyword.  

For example , researchers conducting research and data analysis for studying the concept of ‘diabetes’ amongst respondents might analyze the context of when and how the respondent has used or referred to the word ‘diabetes.’

The scrutiny-based technique is also one of the highly recommended  text analysis  methods used to identify a quality data pattern. Compare and contrast is the widely used method under this technique to differentiate how a specific text is similar or different from each other. 

For example: To find out the “importance of resident doctor in a company,” the collected data is divided into people who think it is necessary to hire a resident doctor and those who think it is unnecessary. Compare and contrast is the best method that can be used to analyze the polls having single-answer questions types .

Metaphors can be used to reduce the data pile and find patterns in it so that it becomes easier to connect data with theory.

Variable Partitioning is another technique used to split variables so that researchers can find more coherent descriptions and explanations from the enormous data.

LEARN ABOUT: Qualitative Research Questions and Questionnaires

There are several techniques to analyze the data in qualitative research, but here are some commonly used methods,

• Content Analysis:  It is widely accepted and the most frequently employed technique for data analysis in research methodology. It can be used to analyze the documented information from text, images, and sometimes from the physical items. It depends on the research questions to predict when and where to use this method.
• Narrative Analysis: This method is used to analyze content gathered from various sources such as personal interviews, field observation, and  surveys . The majority of times, stories, or opinions shared by people are focused on finding answers to the research questions.
• Discourse Analysis:  Similar to narrative analysis, discourse analysis is used to analyze the interactions with people. Nevertheless, this particular method considers the social context under which or within which the communication between the researcher and respondent takes place. In addition to that, discourse analysis also focuses on the lifestyle and day-to-day environment while deriving any conclusion.
• Grounded Theory:  When you want to explain why a particular phenomenon happened, then using grounded theory for analyzing quality data is the best resort. Grounded theory is applied to study data about the host of similar cases occurring in different settings. When researchers are using this method, they might alter explanations or produce new ones until they arrive at some conclusion.

LEARN ABOUT: 12 Best Tools for Researchers

Data analysis in quantitative research

The first stage in research and data analysis is to make it for the analysis so that the nominal data can be converted into something meaningful. Data preparation consists of the below phases.

Phase I: Data Validation

Data validation is done to understand if the collected data sample is per the pre-set standards, or it is a biased data sample again divided into four different stages

• Fraud: To ensure an actual human being records each response to the survey or the questionnaire
• Screening: To make sure each participant or respondent is selected or chosen in compliance with the research criteria
• Procedure: To ensure ethical standards were maintained while collecting the data sample
• Completeness: To ensure that the respondent has answered all the questions in an online survey. Else, the interviewer had asked all the questions devised in the questionnaire.

Phase II: Data Editing

More often, an extensive research data sample comes loaded with errors. Respondents sometimes fill in some fields incorrectly or sometimes skip them accidentally. Data editing is a process wherein the researchers have to confirm that the provided data is free of such errors. They need to conduct necessary checks and outlier checks to edit the raw edit and make it ready for analysis.

Phase III: Data Coding

Out of all three, this is the most critical phase of data preparation associated with grouping and assigning values to the survey responses . If a survey is completed with a 1000 sample size, the researcher will create an age bracket to distinguish the respondents based on their age. Thus, it becomes easier to analyze small data buckets rather than deal with the massive data pile.

LEARN ABOUT: Steps in Qualitative Research

After the data is prepared for analysis, researchers are open to using different research and data analysis methods to derive meaningful insights. For sure, statistical analysis plans are the most favored to analyze numerical data. In statistical analysis, distinguishing between categorical data and numerical data is essential, as categorical data involves distinct categories or labels, while numerical data consists of measurable quantities. The method is again classified into two groups. First, ‘Descriptive Statistics’ used to describe data. Second, ‘Inferential statistics’ that helps in comparing the data .

Descriptive statistics

This method is used to describe the basic features of versatile types of data in research. It presents the data in such a meaningful way that pattern in the data starts making sense. Nevertheless, the descriptive analysis does not go beyond making conclusions. The conclusions are again based on the hypothesis researchers have formulated so far. Here are a few major types of descriptive analysis methods.

Measures of Frequency

• Count, Percent, Frequency
• It is used to denote home often a particular event occurs.
• Researchers use it when they want to showcase how often a response is given.

Measures of Central Tendency

• Mean, Median, Mode
• The method is widely used to demonstrate distribution by various points.
• Researchers use this method when they want to showcase the most commonly or averagely indicated response.

Measures of Dispersion or Variation

• Range, Variance, Standard deviation
• Here the field equals high/low points.
• Variance standard deviation = difference between the observed score and mean
• It is used to identify the spread of scores by stating intervals.
• Researchers use this method to showcase data spread out. It helps them identify the depth until which the data is spread out that it directly affects the mean.

Measures of Position

• Percentile ranks, Quartile ranks
• It relies on standardized scores helping researchers to identify the relationship between different scores.
• It is often used when researchers want to compare scores with the average count.

For quantitative research use of descriptive analysis often give absolute numbers, but the in-depth analysis is never sufficient to demonstrate the rationale behind those numbers. Nevertheless, it is necessary to think of the best method for research and data analysis suiting your survey questionnaire and what story researchers want to tell. For example, the mean is the best way to demonstrate the students’ average scores in schools. It is better to rely on the descriptive statistics when the researchers intend to keep the research or outcome limited to the provided  sample  without generalizing it. For example, when you want to compare average voting done in two different cities, differential statistics are enough.

Descriptive analysis is also called a ‘univariate analysis’ since it is commonly used to analyze a single variable.

Inferential statistics

Inferential statistics are used to make predictions about a larger population after research and data analysis of the representing population’s collected sample. For example, you can ask some odd 100 audiences at a movie theater if they like the movie they are watching. Researchers then use inferential statistics on the collected  sample  to reason that about 80-90% of people like the movie. 

Here are two significant areas of inferential statistics.

• Estimating parameters: It takes statistics from the sample research data and demonstrates something about the population parameter.
• Hypothesis test: I t’s about sampling research data to answer the survey research questions. For example, researchers might be interested to understand if the new shade of lipstick recently launched is good or not, or if the multivitamin capsules help children to perform better at games.

These are sophisticated analysis methods used to showcase the relationship between different variables instead of describing a single variable. It is often used when researchers want something beyond absolute numbers to understand the relationship between variables.

Here are some of the commonly used methods for data analysis in research.

• Correlation: When researchers are not conducting experimental research or quasi-experimental research wherein the researchers are interested to understand the relationship between two or more variables, they opt for correlational research methods.
• Cross-tabulation: Also called contingency tables,  cross-tabulation  is used to analyze the relationship between multiple variables.  Suppose provided data has age and gender categories presented in rows and columns. A two-dimensional cross-tabulation helps for seamless data analysis and research by showing the number of males and females in each age category.
• Regression analysis: For understanding the strong relationship between two variables, researchers do not look beyond the primary and commonly used regression analysis method, which is also a type of predictive analysis used. In this method, you have an essential factor called the dependent variable. You also have multiple independent variables in regression analysis. You undertake efforts to find out the impact of independent variables on the dependent variable. The values of both independent and dependent variables are assumed as being ascertained in an error-free random manner.
• Frequency tables: The statistical procedure is used for testing the degree to which two or more vary or differ in an experiment. A considerable degree of variation means research findings were significant. In many contexts, ANOVA testing and variance analysis are similar.
• Analysis of variance: The statistical procedure is used for testing the degree to which two or more vary or differ in an experiment. A considerable degree of variation means research findings were significant. In many contexts, ANOVA testing and variance analysis are similar.
• Researchers must have the necessary research skills to analyze and manipulation the data , Getting trained to demonstrate a high standard of research practice. Ideally, researchers must possess more than a basic understanding of the rationale of selecting one statistical method over the other to obtain better data insights.
• Usually, research and data analytics projects differ by scientific discipline; therefore, getting statistical advice at the beginning of analysis helps design a survey questionnaire, select data collection  methods, and choose samples.

LEARN ABOUT: Best Data Collection Tools

• The primary aim of data research and analysis is to derive ultimate insights that are unbiased. Any mistake in or keeping a biased mind to collect data, selecting an analysis method, or choosing  audience  sample il to draw a biased inference.
• Irrelevant to the sophistication used in research data and analysis is enough to rectify the poorly defined objective outcome measurements. It does not matter if the design is at fault or intentions are not clear, but lack of clarity might mislead readers, so avoid the practice.
• The motive behind data analysis in research is to present accurate and reliable data. As far as possible, avoid statistical errors, and find a way to deal with everyday challenges like outliers, missing data, data altering, data mining , or developing graphical representation.

LEARN MORE: Descriptive Research vs Correlational Research The sheer amount of data generated daily is frightening. Especially when data analysis has taken center stage. in 2018. In last year, the total data supply amounted to 2.8 trillion gigabytes. Hence, it is clear that the enterprises willing to survive in the hypercompetitive world must possess an excellent capability to analyze complex research data, derive actionable insights, and adapt to the new market needs.

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Methodology

• How to Do Thematic Analysis | Step-by-Step Guide & Examples

How to Do Thematic Analysis | Step-by-Step Guide & Examples

Published on September 6, 2019 by Jack Caulfield . Revised on June 22, 2023.

Thematic analysis is a method of analyzing qualitative data . It is usually applied to a set of texts, such as an interview or transcripts . The researcher closely examines the data to identify common themes – topics, ideas and patterns of meaning that come up repeatedly.

There are various approaches to conducting thematic analysis, but the most common form follows a six-step process: familiarization, coding, generating themes, reviewing themes, defining and naming themes, and writing up. Following this process can also help you avoid confirmation bias when formulating your analysis.

This process was originally developed for psychology research by Virginia Braun and Victoria Clarke . However, thematic analysis is a flexible method that can be adapted to many different kinds of research.

Table of contents

When to use thematic analysis, different approaches to thematic analysis, step 1: familiarization, step 2: coding, step 3: generating themes, step 4: reviewing themes, step 5: defining and naming themes, step 6: writing up, other interesting articles.

Thematic analysis is a good approach to research where you’re trying to find out something about people’s views, opinions, knowledge, experiences or values from a set of qualitative data – for example, interview transcripts , social media profiles, or survey responses .

Some types of research questions you might use thematic analysis to answer:

• How do patients perceive doctors in a hospital setting?
• What are young women’s experiences on dating sites?
• What are non-experts’ ideas and opinions about climate change?
• How is gender constructed in high school history teaching?

To answer any of these questions, you would collect data from a group of relevant participants and then analyze it. Thematic analysis allows you a lot of flexibility in interpreting the data, and allows you to approach large data sets more easily by sorting them into broad themes.

However, it also involves the risk of missing nuances in the data. Thematic analysis is often quite subjective and relies on the researcher’s judgement, so you have to reflect carefully on your own choices and interpretations.

Pay close attention to the data to ensure that you’re not picking up on things that are not there – or obscuring things that are.

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Once you’ve decided to use thematic analysis, there are different approaches to consider.

There’s the distinction between inductive and deductive approaches:

• An inductive approach involves allowing the data to determine your themes.
• A deductive approach involves coming to the data with some preconceived themes you expect to find reflected there, based on theory or existing knowledge.

Ask yourself: Does my theoretical framework give me a strong idea of what kind of themes I expect to find in the data (deductive), or am I planning to develop my own framework based on what I find (inductive)?

There’s also the distinction between a semantic and a latent approach:

• A semantic approach involves analyzing the explicit content of the data.
• A latent approach involves reading into the subtext and assumptions underlying the data.

Ask yourself: Am I interested in people’s stated opinions (semantic) or in what their statements reveal about their assumptions and social context (latent)?

After you’ve decided thematic analysis is the right method for analyzing your data, and you’ve thought about the approach you’re going to take, you can follow the six steps developed by Braun and Clarke .

The first step is to get to know our data. It’s important to get a thorough overview of all the data we collected before we start analyzing individual items.

This might involve transcribing audio , reading through the text and taking initial notes, and generally looking through the data to get familiar with it.

Next up, we need to code the data. Coding means highlighting sections of our text – usually phrases or sentences – and coming up with shorthand labels or “codes” to describe their content.

Let’s take a short example text. Say we’re researching perceptions of climate change among conservative voters aged 50 and up, and we have collected data through a series of interviews. An extract from one interview looks like this:

In this extract, we’ve highlighted various phrases in different colors corresponding to different codes. Each code describes the idea or feeling expressed in that part of the text.

At this stage, we want to be thorough: we go through the transcript of every interview and highlight everything that jumps out as relevant or potentially interesting. As well as highlighting all the phrases and sentences that match these codes, we can keep adding new codes as we go through the text.

After we’ve been through the text, we collate together all the data into groups identified by code. These codes allow us to gain a a condensed overview of the main points and common meanings that recur throughout the data.

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Next, we look over the codes we’ve created, identify patterns among them, and start coming up with themes.

Themes are generally broader than codes. Most of the time, you’ll combine several codes into a single theme. In our example, we might start combining codes into themes like this:

At this stage, we might decide that some of our codes are too vague or not relevant enough (for example, because they don’t appear very often in the data), so they can be discarded.

Other codes might become themes in their own right. In our example, we decided that the code “uncertainty” made sense as a theme, with some other codes incorporated into it.

Again, what we decide will vary according to what we’re trying to find out. We want to create potential themes that tell us something helpful about the data for our purposes.

Now we have to make sure that our themes are useful and accurate representations of the data. Here, we return to the data set and compare our themes against it. Are we missing anything? Are these themes really present in the data? What can we change to make our themes work better?

If we encounter problems with our themes, we might split them up, combine them, discard them or create new ones: whatever makes them more useful and accurate.

For example, we might decide upon looking through the data that “changing terminology” fits better under the “uncertainty” theme than under “distrust of experts,” since the data labelled with this code involves confusion, not necessarily distrust.

Now that you have a final list of themes, it’s time to name and define each of them.

Defining themes involves formulating exactly what we mean by each theme and figuring out how it helps us understand the data.

Naming themes involves coming up with a succinct and easily understandable name for each theme.

For example, we might look at “distrust of experts” and determine exactly who we mean by “experts” in this theme. We might decide that a better name for the theme is “distrust of authority” or “conspiracy thinking”.

Finally, we’ll write up our analysis of the data. Like all academic texts, writing up a thematic analysis requires an introduction to establish our research question, aims and approach.

We should also include a methodology section, describing how we collected the data (e.g. through semi-structured interviews or open-ended survey questions ) and explaining how we conducted the thematic analysis itself.

The results or findings section usually addresses each theme in turn. We describe how often the themes come up and what they mean, including examples from the data as evidence. Finally, our conclusion explains the main takeaways and shows how the analysis has answered our research question.

In our example, we might argue that conspiracy thinking about climate change is widespread among older conservative voters, point out the uncertainty with which many voters view the issue, and discuss the role of misinformation in respondents’ perceptions.

If you want to know more about statistics , methodology , or research bias , make sure to check out some of our other articles with explanations and examples.

• Normal distribution
• Measures of central tendency
• Chi square tests
• Confidence interval
• Quartiles & Quantiles
• Cluster sampling
• Stratified sampling
• Discourse analysis
• Cohort study
• Peer review
• Ethnography

Research bias

• Implicit bias
• Cognitive bias
• Conformity bias
• Hawthorne effect
• Availability heuristic
• Attrition bias
• Social desirability bias

Cite this Scribbr article

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Caulfield, J. (2023, June 22). How to Do Thematic Analysis | Step-by-Step Guide & Examples. Scribbr. Retrieved April 5, 2024, from https://www.scribbr.com/methodology/thematic-analysis/

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• Career Blog

Research Analyst Resume: Examples and Writing Tips

Research analysts play a significant role in business. Their job is to gather, analyze, and interpret data to help companies make informed decisions. In this article, we will discuss the importance of research analysts in business and explore how to write an effective research analyst resume.

Definition of Research Analyst

A research analyst is an individual who conducts quantitative and qualitative research for businesses. The primary function of a research analyst is to gather data from various sources, analyze the data, and come up with insights that can help businesses make informed decisions. Research analysts may work in various industries, including finance, marketing, healthcare, and education.

Importance of Research Analyst in Business

Research analysts play a crucial role in helping businesses stay competitive. By gathering and analyzing data, they provide valuable insights that can be used to make informed decisions. Research analysts also help businesses identify trends and opportunities that they may have otherwise missed, which can help them stay ahead of their competitors.

Moreover, research analysts help companies identify potential risks and threats, allowing them to develop strategies to mitigate those risks. Research analysts also help businesses stay up-to-date with industry trends and changes, which is essential in today’s fast-paced business environment.

Purpose of Research Analyst Resume

A research analyst’s resume is a document that summarizes their educational background, work experience, and skills. It is the first point of contact between the research analyst and the prospective employer. The purpose of a research analyst resume is to showcase the candidate’s expertise and highlight their value proposition.

A well-written research analyst resume should include relevant information that demonstrates the candidate’s ability to analyze and interpret data, problem-solve, and communicate insights effectively. It should also highlight the candidate’s educational qualifications, technical skills, and industry experience.

Research analysts play a crucial role in helping businesses make informed decisions, identify opportunities and risks, and stay competitive. A well-written research analyst resume can help candidates showcase their expertise, stand out from the competition, and land their dream job. In the following sections, we will explore best practices for writing an effective research analyst resume that will catch the attention of hiring managers.

Resume Format for Research Analyst

When it comes to writing a research analyst resume, choosing the right format is crucial. The format you choose will help highlight your skills, abilities, and experience in the best way possible. Here are three types of formats you can use:

1. Chronological Resume Format

The chronological resume format is the most common type of resume format used for research analyst positions. This format emphasizes your work experience in reverse chronological order, meaning your most recent work experience is highlighted first.

This format is great for research analysts with extensive work experience in the field. It allows you to showcase your career progression, which can make you more attractive to employers.

Here are some tips for writing a strong chronological resume format:

• Include a summary at the top that highlights your most relevant and impressive qualifications.
• List your work experience with your most recent job first.
• For each job, highlight your achievements and responsibilities.
• Use bullet points to make your resume easy to read.
• Don’t forget to include education and any relevant certifications.

2. Functional Resume Format

The functional resume format is great for research analysts who may not have a lot of work experience or whose work experience is not directly related to the job they’re applying for.

This format focuses on your skills and achievements rather than your work history. It allows you to showcase your strengths and abilities and how they relate to the job you’re applying for.

Here are some tips for writing a strong functional resume format:

• Start with a summary of your skills and achievements.
• List your skills in categories, such as research skills, analytical skills, or communication skills.
• Use bullet points to highlight your achievements and how they relate to the job you’re applying for.

3. Combination Resume Format

The combination resume format is a mix between the chronological and functional resume formats. It allows you to highlight both your work experience and your skills and achievements.

This format is great for research analysts with a solid work history but who also want to highlight their skills and achievements.

Here are some tips for writing a strong combination resume format:

• List your work experience in reverse chronological order.
• Include a section for your skills and abilities.

Choosing the right resume format is important when it comes to creating a strong research analyst resume. Consider your work experience, skills, and achievements, and choose a format that highlights your strengths and makes you stand out to potential employers.

Key Components of a Research Analyst Resume

A well-crafted research analyst resume is an essential tool for securing a job in this highly competitive field. To create a winning resume, you should highlight your strongest attributes and qualifications in a clear and concise manner. The following are key components of a research analyst resume.

Contact Information

Your contact information should include your name, address, phone number, email address, and any relevant professional social media profiles, such as LinkedIn. Ensure that this information is up to date and easy to read. A prospective employer needs to be able to contact you easily and quickly.

Objective or Summary Statement

This section should convey your career goals and objectives. It is an opportunity to showcase your personality, skills, and the value you can bring to the company. Keep it brief and focus on your key strengths, relevant experience, and interests.

Professional Experience

This section should highlight your work experience, highlighting positions that align with the research analyst role. Start with your most recent job and work backwards. For each position, provide a brief description of your key responsibilities and accomplishments. This section should emphasize your analytical and research skills, as well as any experience with data analysis and interpretation.

This section should include your academic credentials, including your degree(s), the name of the institution(s) you attended, and your graduation date. You can also include any relevant coursework, honors or awards, and extracurricular activities. If you have any specialized training or certifications, such as in data analysis, be sure to include those as well.

The skills section should outline your technical and soft skills that are relevant to the research analyst position. Include software, data analysis tools, and programming languages that you are proficient in, as well as any leadership, communication, or teamwork skills. Use bullet points to make this section more readable.

A well-crafted research analyst resume should include your foundational qualifications, key skills, and experience, conveyed in a concise and easy-to-read format. Make sure to customize your resume for each specific job application and emphasize the skills and experiences that align most closely with the needs of the prospective employer.

Writing Tips for Research Analyst Resume

As a highly skilled research analyst, your resume should clearly demonstrate your expertise, skills, and experience. Here are some writing tips to ensure your resume stands out from the competition:

Customize your Resume

Tailor your resume to the specific company and role you are applying for. Research the company and incorporate their values and mission into your resume. Be sure to include relevant experience, skills, and accomplishments that align with the job description.

Highlight your Achievements

Showcase your accomplishments in your previous roles. Quantify your achievements with numbers, percentages, or dollars. Use bullet points to highlight your contributions to previous projects or teams.

Use Action Verbs

Use active verbs to describe your responsibilities and accomplishments. This helps to make your resume more dynamic and engaging. Avoid passive phrases like “responsible for” and instead use phrases like “managed”, “developed”, and “led”.

Keep it Simple and Concise

Stick to a clear and concise format. Use simple language and avoid complex jargon. Limit your resume to one or two pages and use plenty of white space to make it easy to scan. Make sure your resume is easy to read and visually appealing.

By following these writing tips, you can create a resume that showcases your skills, experience, and achievements as a research analyst.

Example Research Analyst Resume

As a research analyst, your resume is a reflection of your skills, experience, and qualifications. Below is an example of resumes that demonstrates strong writing, analytical, and communication skills.

James Anderson

Research Analyst

Phone: (123) 456-7890 Email:  [email protected]  LinkedIn: linkedin.com/in/jamesanderson

Analytical and detail-oriented Research Analyst with a strong background in quantitative and qualitative research methodologies. Skilled in data analysis, report writing, and market trend analysis. Proficient in using statistical software and conducting comprehensive research to support business decision-making. Seeking a Research Analyst position to contribute to data-driven insights and drive organizational growth.

Research Analyst, ABC Consulting Firm

• Conducted market research and competitor analysis to identify industry trends and market opportunities.
• Gathered and analyzed data from primary and secondary sources using statistical software and Excel.
• Prepared detailed reports and presentations summarizing research findings and recommendations.
• Collaborated with cross-functional teams to provide strategic insights and support decision-making.
• Assisted in the development and execution of research methodologies and survey questionnaires.

Research Associate, XYZ Market Research Agency

• Managed research projects from conception to completion, ensuring adherence to timelines and budgets.
• Conducted in-depth interviews, focus groups, and surveys to gather primary data.
• Analyzed data using statistical techniques and interpreted findings to provide actionable insights.
• Prepared research reports and delivered presentations to clients, effectively communicating findings.
• Maintained client relationships and provided ongoing support for research-related inquiries.

Master of Science in Market Research, University of XYZ

• Data Analysis
• Market Research
• Statistical Analysis
• Research Methodologies
• Report Writing
• Data Visualization
• Problem Solving
• Communication
• Attention to Detail
• Statistical Software (SPSS, SAS, R)

Writing a Cover Letter for Research Analyst Position

A cover letter may seem like an inconsequential piece of your job application. However, it can make or break your chances of getting hired. It serves as an introduction to your resume, and a well-written cover letter can compel the hiring manager to review it in detail.

Importance of Cover Letter

A cover letter can bring your application to life, giving you the opportunity to showcase your personality, skills, and accomplishments. It provides an opportunity to connect the dots between the job requirements and your experience. You can also explain any gaps in your employment history or other irregularities that may raise questions.

Format of Cover Letter

A cover letter should be no more than one page long, written in a formal style, and formatted using a standard business letter format. Using a font size of 10 or 12 and 1-inch margins on all sides will make it easy to read. Begin with a professional greeting, include a brief introduction, highlight your qualifications, and conclude with a strong call-to-action.

How to Address the Hiring Manager

Addressing the hiring manager appropriately is an essential element of a good cover letter. Whenever possible, use the hiring manager’s name rather than a generic greeting such as “Dear Hiring Manager.” Do some research to find out the person’s name, job title, and the appropriate salutation.

Writing Tips for Cover Letter

Here are some tips to help you write a strong cover letter that will grab the hiring manager’s attention:

Begin with a strong opening that grabs the reader’s attention.

Highlight your relevant skills, qualifications, and experience that match the job requirements.

Use specific examples that demonstrate your expertise and achievements in the field of research analysis.

Avoid repeating information from your resume.

Showcase your enthusiasm and passion for the job and the company.

Use a formal and professional tone throughout the letter.

Close with a strong call-to-action that invites the hiring manager to schedule an interview.

A cover letter is an essential part of a job application for a research analyst position. It gives you the opportunity to showcase your personality, skills, and experience and connect the dots between the job requirements and your qualifications. Follow the tips outlined above to write a great cover letter that will help you land your dream job.

Common Mistakes to Avoid in Research Analyst Resume

As a research analyst, your resume is an important tool that can help you land your dream job. However, there are some common mistakes that you need to avoid if you want to make a great impression on potential employers. Here are some of the most common mistakes to avoid when writing your research analyst resume:

1. Grammar and Spelling Errors

One of the most common mistakes that applicants make on their research analyst resume is grammar and spelling errors. You need to ensure that your resume is free from any mistakes and is easy to read. Even small errors can give a negative impression, and so you need to review and proofread your resume multiple times to ensure that it is error-free. You can also use online tools that can help you check for spelling and grammar errors.

2. Irrelevant Information

Another common mistake that applicants make is including irrelevant information in their research analyst resume. This can be anything from your hobbies to your personal history. You need to make sure that all the information that you include in your resume is relevant to the job that you are applying for. Focus on highlighting your skills, experience, and achievements that are relevant to the research analyst role.

3. Overuse of Technical Terms

Technical terms are common in research analyst resumes. However, overusing technical terms can make your resume difficult to read and understand. You need to ensure that your resume is easy to read and understand. Avoid using technical jargon that the hiring managers may not be familiar with. Focus on communicating your skills and experience in a clear and concise way.

These are some of the common mistakes that you need to avoid when writing your research analyst resume. By avoiding these mistakes and focusing on showcasing your skills and experience, you can create a powerful and effective resume that can help you land your dream job.

Tips on Applying for Research Analyst Position

When applying for a research analyst position, it’s essential to understand that your expertise and experience are not the only things that matter. The hiring process involves networking, thorough company research, interview preparation, and following up after the interview. Here are some tips that can help you stand out during the application process.

Importance of Networking

Networking is an essential part of any job search, and it’s no different when applying for a research analyst position. Reach out to your professional network, join industry organizations, attend conferences, and connect with people on LinkedIn. Tap into your network to learn more about the companies that interest you, the role you’re applying for, and any other relevant information that can help you during the application process.

Research the Company

When applying for a research analyst position, researching the company is crucial. Not only will this help you tailor your resume and cover letter to the specific needs of the company, but it will also help you better understand the company culture and values. Researching the company can also help you prepare for the interview by anticipating questions and demonstrating your interest in the company.

Prepare for Interview

Preparing for the interview is critical, and it’s one of the best ways to stand out from the other candidates. Research the common interview questions and practice your responses. Review your resume and cover letter to have a clear understanding of your qualifications and accomplishments. Be sure to prepare questions that demonstrate your interest in the company.

Follow Up After Interview

Always follow up after the interview, ideally within 24 hours. Send a thank-you email or note reiterating your interest in the position and expressing your gratitude for the opportunity to interview. Additionally, this is a great time to address any concerns or qualifications that you may have missed during the interview.

Applying for a research analyst position requires more than just a great resume and cover letter. Networking, researching the company, preparing for the interview, and following up are critical steps that can help you stand out and land the job. By taking the time to do your due diligence, you can position yourself as the best candidate for the role.

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• Research Analyst Resume Example

Resume Examples

• Common Tasks & Responsibilities
• Top Hard & Soft Skills
• Action Verbs & Keywords
• Resume FAQs
• Similar Resumes

Common Responsibilities Listed on Research Analyst Resumes:

• Developing research plans and strategies
• Conducting primary and secondary research
• Analyzing data and creating reports
• Interpreting research results and making recommendations
• Identifying trends and patterns in data
• Developing survey questions and conducting surveys
• Creating presentations to share research findings
• Staying up to date on industry trends and developments
• Collaborating with other departments to ensure research objectives are met
• Maintaining accurate records of research activities
• Providing support to other research teams

Speed up your resume creation process with the AI-Powered Resume Builder . Generate tailored achievements in seconds for every role you apply to.

Research Analyst Resume Example:

• Developed and executed comprehensive research plans and strategies, resulting in a 25% increase in data accuracy and a 15% improvement in research efficiency.
• Analyzed primary and secondary research data to identify key trends and patterns, leading to the development of actionable recommendations that contributed to a 10% increase in customer satisfaction.
• Collaborated with cross-functional teams to ensure research objectives were met, resulting in the successful launch of a new product that generated $1M in revenue within the first quarter.
• Conducted in-depth surveys and interviews to gather primary research data, resulting in the identification of customer preferences and needs that informed product development decisions and led to a 20% increase in market share.
• Created visually impactful presentations to effectively communicate research findings to stakeholders, resulting in a 30% improvement in decision-making processes and a 10% increase in project success rate.
• Maintained accurate records of research activities and data, ensuring compliance with industry regulations and facilitating seamless knowledge sharing among team members, resulting in a 15% reduction in research errors.
• Interpreted research results and provided actionable insights to senior management, contributing to the development of strategic initiatives that led to a 10% increase in revenue and a 5% improvement in customer retention.
• Stayed up to date on industry trends and developments, conducting competitor analysis and market research, resulting in the identification of new market opportunities and a 10% increase in market penetration.
• Supported other research teams by providing guidance and expertise, resulting in a 20% improvement in research quality and a 10% reduction in project timelines.
• Data analysis and interpretation
• Research planning and execution
• Primary and secondary research
• Trend identification
• Cross-functional collaboration
• Survey and interview conduction
• Presentation creation and delivery
• Record keeping and compliance
• Strategic insight provision
• Industry trend monitoring
• Competitor analysis and market research
• Team leadership and guidance
• Quantitative and qualitative research
• Statistical analysis
• Data visualization
• Project management
• Critical thinking
• Communication skills
• Attention to detail
• Problem-solving skills
• Proficiency in research software and tools
• Time management skills
• Knowledge of data privacy standards
• Adaptability to new research methodologies
• Proficiency in Microsoft Office Suite (Excel, PowerPoint, Word)

Top Skills & Keywords for Research Analyst Resumes:

Hard skills.

• Quantitative Research Methods
• Qualitative Research Methods
• Statistical Analysis
• Data Collection and Management
• Survey Design and Implementation
• Market Research Techniques
• Data Mining and Analysis
• Statistical Software (e.g., SPSS, SAS, R)
• Database Querying (e.g., SQL)
• Report Writing and Presentation
• Trend Analysis
• Forecasting and Predictive Modeling

Soft Skills

• Analytical Thinking and Problem Solving
• Attention to Detail and Accuracy
• Research and Information Gathering
• Data Analysis and Interpretation
• Critical Thinking and Logical Reasoning
• Time Management and Organization
• Written and Verbal Communication
• Collaboration and Teamwork
• Adaptability and Flexibility
• Curiosity and Continuous Learning
• Ethical Conduct and Integrity
• Presentation and Visualization Skills

Resume Action Verbs for Research Analysts:

• Synthesized
• Interpreted
• Investigated
• Collaborated

Generate Your Resume Summary

Resume FAQs for Research Analysts:

How long should i make my research analyst resume, what is the best way to format a research analyst resume, which keywords are important to highlight in a research analyst resume, how should i write my resume if i have no experience as a research analyst, compare your research analyst resume to a job description:.

• Identify opportunities to further tailor your resume to the Research Analyst job
• Improve your keyword usage to align your experience and skills with the position
• Uncover and address potential gaps in your resume that may be important to the hiring manager

Complete the steps below to generate your free resume analysis.

Related Resumes for Research Analysts:

Data analyst, business analyst, research assistant, research associate, research manager, research scientist, senior data analyst, business intelligence analyst.

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How To Put Research On Your Resume (With Examples)

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Find a Job You Really Want In

Research experiences and skills are an incredibly important aspect of many job applications, so it’s important to know how to put them on your resume correctly. Hiring managers and recruiters want employees who can help drive innovation by being able to apply research skills to problem solve and come up with creative growth solutions.

If you’re a job seeker looking to include your research skills on a resume , we’ll go over how to list research on resume, where you can include it on a resume, and give you some examples.

Key Takeaways:

If you don’t have traditional research experience, highlight the skills used for research that you’ve used in past jobs.

Consider creating a separate research section in your resume if you have a lot of research experience or merge sections, depending on which section you want to bolster with research.

Research experience is one of the best assets to include on a resume so be on the lookout for more opportunities.

What are research skills?

Where to put research experience on your resume

How to include research on your resume, examples of research on a resume, how to put research on your resume faq.

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Research skills are any skills related to your ability to locate, extract, organize, and evaluate data relevant to a particular subject. It also involves investigation, critical thinking , and presenting or using the findings in a meaningful way.

Depending on what job you’re applying for, research skills could make or break your ability to land the job. Almost every job requires some research skills and you probably already have some of those skills mastered by now.

For most careers, research is a vital process to be able to answer questions. “Research skills” are not a single skill, but multiple ones put together.

Some skills that are necessary for research are organization, problem-solving, critical thinking, communication, and specific technical skills, like coding, Excel, and copywriting.

Including research experience and skills on a resume can be incredibly flexible. When thinking about how to add it to your resume, you want to consider how the research experience adds to your resume.

Your research experience can be included in a few different sections of your resume. Some of those sections include:

Academic accomplishments

Research experience

Work experience/history

College activities

Volunteer work

Presentations and publications

Skills section

If you’ve had smaller research roles but no “official” research experience, you can highlight the skills associated with the types of research mentioned above in your job description under the work history section in your resume.

If your job history is a research position, then naturally, you would include research under the work history section. You can also merge your sections depending on what type of position you are applying for.

For example, you could create a “Research and Education” section or a “Research and Publications” section. If your research is not related to your education and you don’t have any publications, you can also detail it in a separate “Research” section in your resume.

To include your research on your resume, you should gather all the necessary information and then quantify your accomplishments to fit into specific sections. Here is a more detailed list of how to write about research experience in resume:

Gather all the necessary information. The first step is to collect all of the important details like the title of the research project, the location of the research project, the principal investigator of the project (if applicable), and the dates of the project. You will list these details much like you would list a company you have worked for in the past.

Read the job description carefully. Every resume and cover letter you write should be tailored to the job you’re applying for. When a hiring manager puts a necessary qualification in their job posting, you must be sure to include it in your resume.

Make sure that you highlight the right types of research skills on your job applications and resumes.

Quantify your accomplishments. When describing your role on the project, you will want to summarize your accomplishments and deliverables. Hiring managers and recruiters love seeing numbers. When you write out the deliverables from your project, make sure you quantify them.

Incorporate into your work history section. If there were times when you used your research skills in your past employment opportunities, include them in your work experience section. You can also include publications, conferences you may have presented at, and any awards or recognition your research had received.

If you have completed research in an academic setting, then presentations (oral and poster) are an important part of the research process. You should include those details along with the titles of your publications.

Add to your research section. Other aspects of research that you can detail to make your application more competitive are adding skills specific to your project to the skills section of your resume.

These skills will vary depending on the subject matter, but some examples include coding languages, interviewing skills, any software you used and are proficient in using, managerial skills , and public speaking if you have presented your research at conferences.

Add research to your skills section. If the specific research you did is less important than the skills you used to perform it, highlight that in your skills section. That way, you don’t have to take up a lot of work or education history with slightly irrelevant information, but hiring managers can still see you have research skills.

Just be sure you’re more specific about a research methodology you’re an expert in because the skills section doesn’t give you as much room to explain how you leveraged these abilities.

Sprinkle research throughout your resume. If you have a lot of experience performing research in professional, volunteer, and educational settings, pepper it in a few different sections. The more hands-on experience you have with research, the better (for jobs that require research).

Let’s look at some examples of how research can be included on a resume:

University research example

EDUCATION Undergraduate Thesis, University of Connecticut, Dec. 2017-May 2018 Worked alongside UCONN English Department head Penelope Victeri to research the poetry of New England writers of the 20th century. Explored common themes across the works of Elizabeth Bishop, Wallace Stevens, and Robert Lowell. Performed online and in-person research on historical documents relating to each author , including information on the political, religious, and economic landscape of the US at the time. Analyzed poetic works of each author and drew on similar contemporary regional authors’ works. Prepared 20,000 words thesis entitled “Place, Allegory, and Religion: Three 20th Century New England Poets” and defended my written arguments to a panel of English professors.

Customer service research example

WORK EXPERIENCE Conducted interviews with 20 customers each week to gain insight into the user experience with company products Used Google analytics to determine which pages were driving most web traffic, and increased traffic by 11% Reviewed thousands of customer surveys and compiled findings into monthly reports with graphic findings Presented at weekly marketing meeting to inform marketing team of trends in customer experience with our products

Laboratory research example

RESEARCH Conducted experiments on rat brains by introducing various novel chemical compounds and levels of oxygen Ran electricity through brain slices to view interaction of different chemical compounds on active brain cells Prepared sterile samples for daily check and maintained 89% percent yield over the course of a 3-month study Presented findings in a final 15 -page research report and presentation to the Research and Development team

Examples of common research skills to list on your resume

Here are examples of research skills in action that you may have overlooked:

Searching for local business competition

Sending out customer satisfaction surveys

Summarizing current policies and laws in effect for a particular topic

Creating lesson plans based on current education standards

Reading literature reviews and implementing changes in clinical practice

Attention to detail

Problem-solving skills

Critical thinking

Project management skills

Communication skills

Why are research skills important?

Research skills are important because they can help you identify a problem, gather information, and evaluate that information for relevancy. Including your research skills on a resume will show hiring managers that you have the ability to suggest new ideas and help their organization adapt and change as the industry changes.

Some common research skills include:

critical thinking

Computer skills

Can I list research as a skill?

Yes, you can list research as a skill on your resume. Including your research skills in your resume can help show a potential employer that you have the ability to suggest new ideas and use critical thinking to find solutions to problems. Most research skills will use attention to detail, problem-solving, and project management skills.

California State University San Bernardino – Incorporating Research Project Experience on Your Resume

University of Missouri – How to Put Research on Your Resume

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Heidi Cope is a former writer for the Zippia Career Advice blog. Her writing focused primarily on Zippia's suite of rankings and general career advice. After leaving Zippia, Heidi joined The Mighty as a writer and editor, among other positions. She received her BS from UNC Charlotte in German Studies.

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Research & Analysis Resume Samples

The guide to resume tailoring.

Guide the recruiter to the conclusion that you are the best candidate for the research & analysis job. It’s actually very simple. Tailor your resume by picking relevant responsibilities from the examples below and then add your accomplishments. This way, you can position yourself in the best way to get hired.

Craft your perfect resume by picking job responsibilities written by professional recruiters

Pick from the thousands of curated job responsibilities used by the leading companies, tailor your resume & cover letter with wording that best fits for each job you apply.

Create a Resume in Minutes with Professional Resume Templates

• Work with business development and research + analysis teams to develop tools to track sales and streaming usage and present findings to management
• Tracks A&R activity and prepares reports of potential signings to business development team and other management
• Possess a strong work ethic
• Manage time
• Prepares creative summaries for potential signings
• Communicates and interacts effectively with a variety of partners, including A&R, management, and business development staff. Networks within the music industry
• Handles and safeguards confidential and proprietary information
• Developing slide design concepts and layouts
• Ensure superior customer satisfaction by delivering high end quality support to Strategic Management Office (NNI) on a timely basis
• Draft overall presentation storyboard and also be actively engaged in presentation content development with a focus on capturing key messages, data collection etc
• Presentation slide development and updates, including
• Provide analytical and consulting services in designing, delivering and executing tasks/projects related to Strategic Management Office (NNI) in the Pharma domain
• To ensure efficient development process
• To ensure good quality of slides: Including story flow, slide design, data accuracy
• Strong knowledge and exposure to Risk & Compliance management along with country-specific risk knowledge
• Build, support and manage a team R&A professionals
• Perform qualitative industry & portfolio reviews
• Proactive risk management
• Support Relationship Management and customer interface
• Monitor customer creditworthiness
• Review of data quality
• Extensive knowledge of research theory and methodology, advanced statistical analysis techniques, evaluation design, and using quantitative and qualitative data
• Knowledge of methods to conduct interviews to gather, assemble, correlate, and analyze facts, draw conclusions, devise solutions to assigned problems and make recommendations
• Knowledgeable in data extraction, preparation and analysis; and report generation, including Business Objects or other toolsets used to access data warehouses
• Familiar with the factors, issues, and processes involved in crime and the criminal justice system, along with policies, rules, directives, and procedures
• Successful state and federal grant writing awards and sharp reporting skills
• Excellent organizational and project management skills. Orchestrates multiple and complex activities simultaneously. Accurately scopes out length and difficulty of projects; develops schedules and assignments and successfully meets multiple deadlines
• Exceptional oral and written communication skills; engaging diverse audiences including Commissioners, law enforcement, inter-agency leadership, policy makers, stakeholders, community partners, and the general public
• Proven leadership ability with strong supervisory and relationship building skills
• Acute political awareness and non-partisan perspective with a collaborative approach
• Skilled in Microsoft Office products, the Internet, social media, graphics and statistical packages such as SPSS or SAS and experience with COGNOS, SQL. Strong application software skills to perform analysis and develop complex analysis models

15 Research & Analysis resume templates

Read our complete resume writing guides

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• Direct onsite interviews with hedge fund managers CFOs, CCOs, and other operational management and personnel
• Ensure execution of onsite due diligence reviews on hedge fund operational support structure, internal controls, trade processing environments and process flows
• Evaluate accounting and reporting processes and controls including cash management, valuation practices, and NAV analyses
• Audited financial statement reviews to validate appropriateness and evaluate risks
• Review third party vendor relationships, agreement terms and perform onsite reviews of certain providers
• Obtain detailed understanding of counterparty exposures, financing terms and conditions and unencumbered cash
• Advise legal team of required changes to hedge funds’ legal documentation
• Assess appropriateness of compliance procedures, regulatory reporting and examination results
• Contribute to the overall operational risk measurement, monitoring, and reporting environments
• Prepare operational due diligence reports for communication to management
• Develop market intelligence and industry best practice by liaising with fund managers, administrators, valuation agents, non-executive directors, prime brokers, external auditors, and attorneys
• Experience of 3-6 years in public accounting focusing on hedge fund clients and/or 4-6 years direct hedge fund industry experience and 2-3 years working in ODD
• Specialized experience with respect to trading oriented strategies, regulatory compliance, broker dealer capital requirements or hedge fund consulting a plus
• BA/BS required; CPA desirable as well as interest in pursuing CFA charter
• Superior analytical and organizational skills
• Strategic planning and ownership of outcomes
• Demonstrated track record of sound and accurate judgment in the identification and mitigation of hedge fund risks
• Ability to balance the need to be highly hands-on in a team oriented environment
• Naturally aligned with a defined set of key corporate values, including fiduciary responsibility, passion for performance, team orientation and innovation

Audience Research & Analysis Internship Resume Examples & Samples

• Organized, detail-oriented, excellent communication skills
• Some experience with Excel, Microsoft Word, and PowerPoint
• Fluency in Spanish is desirable
• Should be resourceful, flexible, and a team player
• Must be enrolled in a full-time accredited college or university

Summer Internship Research & Analysis Resume Examples & Samples

• Analyze usage of EPIX content on connected devices and apps (including epix.com, iOS and Android devices and Roku, Xbox, Playstation) to discern trends and project performance
• Evaluate competitive lineups on linear, SVOD, broadband platforms to deepen understanding of programming environment and uncover EPIX advantages
• Students must be classified as an undergraduate upperclassmen (juniors/seniors -- 2016 or 2017 graduates) or as a graduate student
• Ability to synthesize and analyze large amounts of data
• Strong attention to detail and facility for numbers
• Skilled at clear and concise graphical, written and verbal communications
• Capacity to work independently on multiple assignments and meet deadlines
• Keen interest in media and entertainment, particularly movies and TV
• Awareness of online video consumptions and delivery options
• Entrepreneurial spirit and research expertise
• Preferred Majors
• Proficiency with Excel, PowerPoint, Word

CIB KYC Research & Analysis Manager Ny-chicago Resume Examples & Samples

• Identify opportunities to leverage existing data or subject matter expertise rather than beginning research from scratch
• Strong project management abilities including the ability to juggle multiple deliverables simultaneously
• Experience in developing project plans, milestones, capacity plans, etc. in order to set appropriate expectations and subsequently deliver the final product as agreed upon
• Familiarity with SharePoint, Outlook, Excel, PowerPoint, Visio and other Microsoft Office tools
• Advanced ability to closely partner with stakeholders on projects and deliverables
• Able to bring a high level of energy to the position as well as good judgment, flexibility, common sense, and insight
• Be a motivated individual who has a “roll-up the sleeves” attitude and hands-on style, yet will be sensitive to the organization and to effecting change
• Create analysis of EPIX viewership on EPIX OD and EPIX apps/devices (epix.com, game consoles, Roku, iOS and Android smartphones and tablets) to discern trends and project performance
• Compile demographic profiles of subscribers to premium and OTT services using proprietary and syndicated consumer research data
• Students must be classified as an undergraduate upperclassmen(rising junior - class of 2018 or senior class of 2017) or as a graduate student
• Ability to synthesize and analyze large amounts of data from multiple sources
• Strong attention to detail and facility for working with numbers
• Capacity to work independently and meet deadlines
• Awareness of online video consumption and delivery options

Research & Analysis Associate Resume Examples & Samples

• Perform system generated cycle counts that stem from short picks and free cycle counts performed by pickers
• Research, record, and report all inventory problems found by Assurance Associates daily to the Supervisor and operations leadership team
• Compile daily production reports for Assurance Associates and send data to Supervisor
• Assist Assurance Associates in problem analysis/system adjustments as needed
• Provide input and support for other departments regarding pending tasks needing completing and questions regarding inventory accuracy

Head of Research & Analysis Resume Examples & Samples

• Review customer rating
• Perform qualitative industry & portfolio reviews
• Review of quantitative portfolio reviews
• Exercise of CAD
• Build, support and manage a team R&A professionals
• Solid banking experience
• Exceptionally strong communication skills - written and verbal
• Strong knowledge and exposure to Risk & Compliance management along with country-specific risk knowledge
• Strategic mindset, highly commercial, proactive with a proven ability to balance risk and reward priorities
• People management experience is a prerequisite

Research & Analysis Consultation Manager Resume Examples & Samples

• Delivery of consultation analysis and reporting and incorporating best practice
• Developing and advising on consultation delivery, including questionnaire design and analysis approaches
• Managing production of copy/collateral/website/digital (writing, design, and production) for consultations
• Managing consultants and suppliers to support consultation activity
• Undertake research and development activities that will contribute and drive continuous improvement
• Undertake or oversee robust analysis and reporting of consultation outcomes
• Managing and minimising risks
• Monitor progress to target, reviewing and reporting as necessary
• Delivering, to a high standard, engagement and consultation analysis and reporting in line with agreed plans
• Managing internal deliverable's (risk, project planning etc.)
• Line management of staff
• Evidence of awareness of legal framework and best practice for consultation
• Experience of analysis and reporting of quantitative information arising from consultation and engagement, including integrating information with quantitative reporting and representing data visually
• Experience of qualitative analysis and reporting from documents and written materials using content analysis approaches, including development and use of structured code frames
• A desire to develop your career by learning on the job
• Strong personal management and timekeeping skills
• You will be keen to work within a range of environments including the Highways, Rail, Environmental, Energy, Aviation and Property sectors
• A degree or equivalent qualification in a social science or social research subject
• Background in consultation or relevant social research (including behavioural insights)
• Relevant experience which demonstrates applied knowledge of consultation, engagement, behavioural insights or social research techniques
• Evidence of planning and delivery of regional or national consultations, ideally on controversial or challenging projects
• Evidence of delivery of consultation approaches across wide-ranging stakeholder groups
• Experience of working collaboratively on multi-disciplinary projects

Program MGR Research / Analysis Resume Examples & Samples

• Serves as project manager for complex, multi-agency research projects. Manages the production of research; designs and executes analysis of agency and Commission directives
• Trains, leads, guides and directs Statistical Analysis Center (SAC) staff to follow quality control processes; documenting all research methodologies and ensuring all products meet the highest standards of rigor and accuracy
• Designs and delivers appropriate audience presentations to the Commission, Governor’s Office, legislature, and citizenry
• Writes and manages multiple grants. Provides quality and timely submission of all deliverables; monitoring and ad hoc reports, correspondence, and communication in compliance with state and federal grant reporting requirements
• Conducts performance measurements. Provides process, impact and outcome program and policy evaluation for local, state, and federal agencies
• Keeps abreast of current trends and best emerging practices in the criminal justice field
• Facilitates data sharing, translational and applied research. Quantitative and Qualitative methods, including predictive statistics, agent-based modeling and computer simulations, forecasting, GIS, focus groups and key informant interviews,
• Under the direction of the Executive Director, builds relationships with program managers, staff, local, statewide and national leaders, stakeholders and the community to secure the commitment and resources required to support key Commission initiatives
• Coordinates the design, production, and dissemination of research findings including narratives, briefs, fact sheets, infographics, and other documents; online and social media communications that are accurate and easily digested by the Commission, stakeholders, policymakers, media and the public
• Knowledge of federal and state grant rules, regulations and reporting requirements; along with grant management, collect and analysis of activity and financial reports
• Knowledge of criminal justice policy research and practice is preferred
• Exceptional skills in program evaluation, research methods, statistical analysis (quantitative and qualitative); and performance measurement. Multi-disciplinary experience preferred
• Skilled in developing and delivering timely deliverables for executives, program managers and policy makers, including demonstrated experience in publishing translational research and evaluation reports
• Ability to manage, train, and develop employees; provide constructive feedback and corrective guidance. Ability to set clear objectives and measures; monitors process, progress, and results
• Ability to think strategically and creatively; adjust to changing circumstances; organize time while remaining attentive to details
• Ability to identify and provide resources for projects; design and conduct research studies; produce and present findings in written and oral presentations
• Provide translational research for improving systems efficiency and data-driven decision-making. Experience sharing complex data analysis or research to diverse audiences
• Ability to communicate effectively; establish and maintain professional working relationships with a broad spectrum of stakeholders including staff, employees from other agencies, and public officials
• Ability to work with others with oppositional views to reach consensus and move toward the desired outcome
• Ability to express ideas, thoughts, and concepts clearly and concisely in a compelling way, both in writing and oral presentation
• Ability to be a team player and participate fully in coordination efforts within the criminal justice system
• PREFERRED QUALIFICATIONS

CCO Performance Research & Analysis Coordinator Resume Examples & Samples

• Maintain tracking of all initiatives for the department including
• Maintenance of department initiatives
• Communication of status updates
• Initiative reporting
• Calibration notes
• Microsoft Access database maintenance
• High School Diploma/GED and at least 1 year of call center experience
• Experience communicating both verbally (on phone, one-on-one, to groups) and in writing (emails, letters, reports, presentations) to various levels of employees (peer, front line leaders, middle management, senior leaders)
• Advanced level skill in Microsoft Excel including ability to create workbooks, change overall appearance of workbook, use common (SUM, COUNT, AVERAGE, IF) and advanced formulas (SUMIFS, LOOKUP, INDEX), use conditional formatting, create and work with Pivot Tables, and use Macro commands
• Intermediate level skill in Microsoft Access including ability to use/create databases using tables, queries, forms, and reports
• Intermediate level skill in Microsoft OneNote including ability to create notebooks, add sections/ pages to existing notebooks, share page, share notebook, and insert objects
• Experience using continuous improvement methodology including root cause analysis
• Ability to think strategically when recommending solutions for process improvement
• Basic skills in data and statistical analysis including determining sample size, measures for mean, range, standard deviation
• Experience using time management and multi-tasking skills such as prioritizing, organizing, and tracking details of multiple projects with varying completion dates
• Experience providing customer service to internal and external customers, including meeting quality standards for services, and evaluation of customer satisfaction

Research & Analysis Manager Resume Examples & Samples

• Perform industry & portfolio reviews
• Coaching, mentoring and developing junior Risk Analysts
• Extensive banking experience with strong experience in managing across segments
• Strategic mindset, highly commercial with a proven ability to balance risk/reward priorities
• Proven skills with an ability to lead through complexity and ambiguity while driving efficiencies and continuous improvement

Manager Economic Research & Analysis Resume Examples & Samples

• Contribute to the design and execution of a dynamic research and analysis agenda
• Build and maintain large-scale forecasting and simulation models
• Contribute to BHP Billiton's thought leadership endeavours
• Engage constructively with key internal stakeholders, including commercial, strategic and executive functions
• Design, manage and execute large-scale internal and external research projects
• Produce insightful written research for a variety of audiences
• Provide intellectual leadership within the broader Market Analysis group
• Advanced quantitative and qualitative research skills, including familiarity with the use and interpretation of large scale models
• Intellectual curiosity and the willingness and ability to educate those around them
• A track record of innovative research in fields of relevance to the global resources industry
• A strong network within the economic research community
• A pragmatic approach to analysis, blending macro-financial, historical, behavioural, political-economic and orthodox approaches
• A wide range of experience across countries and regions, with emerging market competency preferred
• A superior working knowledge of minerals, environmental and energy economics
• At least an honours degree or equivalent in Economics, with a PhD preferred

Research & Analysis Intern Resume Examples & Samples

• BA/BS career path in (Business Management, Marketing, Computer Science, or Engineering)
• Microsoft Excel, Word, PowerPoint proficient
• Ability to multi-task and working in a team environment

Customer Experience Research & Analysis Manager Resume Examples & Samples

• Develop and execute on a research and analysis roadmap that produces concepts and insights related to the Customer Experience team's key focus areas and initiatives
• Work collaboratively with Customer Experience consultants and stakeholders to identify new hypotheses related to Customer Experience focus areas and initiatives
• Break down research and analysis into key concepts that inform potential insights and initiatives
• Consult with internal teams, such as the Customer Intelligence team, on data and analytics that will support research, and define those data needs
• Mine research from external sources to inform the initiatives and treks in motion by Customer Experience
• Maintain expertise around methods and best practices for Customer Experience research tools and tactics, serve as SME on team
• Create data analytics and data science requirements to translate large bodies of data into meaningful opportunities and insights
• Experience conducting in-depth research and analysis
• Proven ability to plan, prepare, and execute presentations to large and small audiences
• Well-versed in Salesforce products and offerings, with broad knowledge of customer use cases, as well as how Salesforce compares to competitors
• Broad understanding of Salesforce internal processes and systems
• Demonstrated success with developing new and innovative processes or tactics to generate tangible results
• High-level understanding of statistical analysis, statistical significance, and predictive modeling
• Knowledge of survey methodologies and best practices
• Consulting experience is desired, but not required
• Skilled at theorizing, problem solving, and strategic thinking
• Effective at collaborating and brainstorming with others to develop ideas
• Can operate with a high level of autonomy to ensure the research and analysis team produces a steady stream of actionable concepts and insights
• Ability to think creatively and innovatively about how to produce and analyze various sources of information in order to understand and analyze the customer experience
• Ability to understand the impact of how culture, team dynamics, and processes (both at Salesforce and within customer organizations) influence the customer experience

Ba-secondary Research & Analysis Resume Examples & Samples

• Conduct strategic market research (secondary) by scanning secondary sources for financial market updates and industry consensus analyses
• Graphic Design and enhancements
• Chart drawing and updates
• Share insights with the stakeholders as a result of the analyses
• Complete ownership of the deliverables from end-to-end with a mind-set of ‘continuous improvement’ and share recommendations with the manager
• Drive pilot projects, track & monitor progress and ensure future stabilisation
• Responsible for providing Strategic support through secondary market research
• Monitoring and analysing following (including insight generation)
• Masters Degree (preferably within quantitative/management discipline) from a well-recognized institute. A degree in Library Science is a plus
• Good academic track records and grades
• 3+ years of experience in preferably in the consulting industry with prior industry experience in Healthcare and Medical devices or Biotechnology is preferred
• Management Consulting/“Big 4” experience a plus
• Experience in leveraging secondary research related databases such as

R&D Systems Research Analysis Resume Examples & Samples

• Requires an advanced degree in a field related to the work of the department (life sciences, chemical sciences, and knowledge of the social sciences, engineering, or risk assessment areas)
• Experience managing projects to completion and the proven ability to successfully manage several projects concurrently
• Ability to travel both domestically and internationally on a fairly frequent basis
• Experience teaching and/or overseeing Risk management best practices
• Multidisciplinary technical knowledge and competencies appropriate to the position
• Knowledge in Biosafety and Biosecurity or Chemsafety and Chemsecurity and applying this information to improve the biorisk management field
• Knowledge in international security issues
• Knowledge of microbiology, immunology, molecular biology or biosafety experience
• Experience in biological weapons nonproliferation and/or counter-bioterrorism policy, and an understanding of policies and regulations, international and domestic, related to dangerous biological materials
• Experience and desire to affect global security issues from a technical biological perspective
• Foreign language skills are desired, as is an interest in reducing biological threats globally
• Broad awareness of Sandia National Labs nonproliferation capabilities and goals
• Experience and knowledge to support or complete projects in an international setting
• Ability to secure and maintain a security clearance
• Experience and ability to engage customers and stakeholders in the application of significant Risk management approaches

Coordinator, Research & Analysis Resume Examples & Samples

• Provide data and analytical reporting on industry trends, placement and commercial sales & marketing opportunities
• Proactively and effectively communicate concepts, findings, and other analytics on an ongoing basis to WEA/ADA account reps, label partners and the Research + Analysis team
• Learn and utilize internal reporting systems to assist label partners
• Monitor the competitive landscape and general music scene
• Assist in the preparation and analysis of sales/trends related to WMG’s brand partnership efforts
• Work with the Director and Manager to assist on US title forecasting process
• Provide support and assistance to senior analysis staff as needed
• Handle various ad hoc requests and projects
• College or University Degree preferred
• Familiarity with Microsoft Office (Excel, Access, PowerPoint, Word), strong Excel skills preferred
• Strong interpersonal skills and ability to communicate clearly and effectively (orally and in writing)
• Detail oriented and with strong organizational skills with the ability to work on multiple projects
• 0 to 1 years of experience
• Perform system generated (work area) cycle counts that stem from short picks and free cycle counts performed by pickers
• Perform system generated free cycle counts (discrepancies) each week to minimize impact to inventory accuracy
• Research (using WMS/Retek), record, and report all inventory problems found by Assurance Associates daily to the Supervisor and the operations leadership team
• Key any inactives that may be found throughout the day by Assurance Associates back in to WMS by end of shift
• Perform weekly research on the Bal-adjust report, ensuring proper corrective adjustments are taken each Monday (as well as throughout the week) and all issues stemming from the report are reported to the Supervisor
• Maintain accurate tracking of cycle count pass progress each quarter, ensuring all locations are completed by performing missed location verification reports and maintaining documentation and filing of all paperwork that is required by the finance business partners in Florida
• Perform weekly analysis on all cycle count adjustments – research and provide feedback to Supervisor and leadership team
• Perform secondary cycle counts to any locations adjusted by the Assurance Associate of a 10+ unit variance to ensure correct processes are being followed and inventory accuracy is correct
• Perform review/research of inventory product for quality and/or labeling issues identified by corporate QA, Showroom, VOC, etc
• Assist or fill in for Assurance Associates as needed for customer credits, general requisitions, and special requests
• Cross trained in other areas of the operation (RTS, Picking, Packing, etc.) to assist operations as needed
• Other duties as assigned by the leadership team
• Collaborate closely with Manager of Corporate Relations to develop existing student organization sponsorship programs and development of new department wide programs
• Conduct benchmarking research for industry and university undergraduate engineering program engagement opportunities
• Prepare reports identifying trends from peer and aspiration institutions

Senior Director of Internet Research & Analysis Resume Examples & Samples

• Create strategic, high-quality, engaging content for technical audiences. Publication mediums may vary, and include blogs, editorial content in third-party publications, webinars/podcasts, and responding to interview requests on behalf of Dyn business unit
• Employ Dyn intelligence tools and data (along with third party data and tools) to generate unique research on industry, product, customer and market trends
• Engage with other industry leaders in the broader Internet and protocol communities, participate on panels and other speaking engagements conferences and events
• Contribute to strategic direction and leadership of global business unit
• At least 10 years’ relevant experience in industry, along with deep understanding of the same
• Proven technical understanding, and demonstrated ability to become an expert in the use of Dyn tools and data
• Proven ability to make data about the Internet, compelling and consumable to high-level audiences
• Team player with strong interpersonal skills and demonstrated ability to build positive relationships and collaborate with cross-functional teams
• Proven ability to build consensus and work effectively within a cross-departmental team
• Ability to plan strategically and execute tactically
• Cultural fit is important; you must embody our core values of trust, passion, performance and respect
• Background in engineering or a related technical field is highly desirable
• Bachelor’s degree in Engineering or Computer Science or equivalent in work experience and self-study. Advanced degree is a plus
• Exceptional leadership qualities and be a team player
• Experience working in cloud computing
• Experience with DNS, Traffic management and Analytics a plus
• Must be a flexible, resourceful, team player that is able to thrive in a fast-paced, constantly changing environment
• Creative thinking and critical analysis are essential

Junior Assoc Research & Analysis Resume Examples & Samples

• Translate data into actionable insights which can help business decision making
• Communicates and interacts effectively with a variety of partners, including A&R, management, and business development staff. Networks within the music industry
• Tracks A&R activity and prepares reports of potential signings to business development team and other management
• Utilize digital analytics tools as it relates to web metrics, site analysis, social media presence, and streaming activity
• Stay informed of trending topics, and analyze social media trends for songwriters and artists to leverage, and communicate accordingly
• Must be able to effectively communicate internally and/or externally in a manner consistent with the company’s Code of Conduct and core values
• Must be able to come to work on time without restriction as to time commitment
• Must be able to read and understand materials and documents and have the ability to recognize and extract critical data and information
• Must be able to perform all diverse physical tasks necessary to complete all the essential duties and responsibilities of the position
• Must be able to work at and utilize all necessary functions of a computer in order to complete all the essential duties and responsibilities of the position
• Must have general computer skills and a working knowledge of Microsoft Office, Adobe Acrobat, and advanced knowledge of PowerPoint
• Knowledge of general business practices
• Pay high attention to detail
• Strong organization skills and pay high attention to detail
• Ability to adhere to deadlines and execute on tasks and handle multiple, diverse assignments
• Produce quality work and be accountable
• Ability to work well in team
• Demonstrate ability to be innovative and suggest change/improvements within scope of work
• Anticipates needs and creates efficient and effective processes
• Self-starter, self-motivated and takes responsibility/ownership of tasks
• Thinks outside the box proactively, strategically and analytically
• Consistently takes initiative
• Demonstrate flexibility and adaptability to changing situations
• Demonstrate strong research, analytical and mathematical skills
• A baccalaureate degree. Understanding of statistics and finance preferred

Prospect Research & Analysis Assistant Director Resume Examples & Samples

• Research and analyze the existing portfolio of foundation and corporate relationships to maximize philanthropy. Utilize a variety of tools, applications and methodologies to analyze the philanthropic capacity and funding priorities of each institution and how it aligns with university priorities and areas of research strength and expertise. Identify key stakeholders with a strong Notre Dame affiliation at each foundation and corporation. Develop research reports and presentation materials to guide strategy and proposal development
• Identify, research and qualify new foundation and corporate prospects with the potential to transform Notre Dame’s research and programs with a grant or gift. Collaborate with foundation relations and corporate relations development officers and academic advancement team to determine areas of greatest opportunity and need. Respond to requests from colleagues with research reports to qualify top prospects and inform engagement and proposal strategies
• Research and analyze current corporate and foundation performance in specific academic areas (e.g., the College of Arts and Letters), benchmarking against peers with the objective of identifying new and existing opportunities. Analyze and understand industry trends in foundations and corporate philanthropy
• Develop expertise and insight into the university’s research and programmatic areas of excellence, particularly in the areas of: healthcare – diagnostics and therapeutics, cancer, global health, rare and neglected diseases, neuroscience, and psychology; energy – NDnano, Notre Dame turbo-machinery lab, flow physics, and solar; data science – Interdisciplinary Center for Network Science & Applications and applied computational mathematics and statistics; sustainability – natural hazard risk assessment and mitigation, resilient communities and sustainability; global initiatives – Keough School of Global Affairs, Initiative for Global Development, global engagement with religion; economics; and Catholic education
• Master’s degree preferred. Beneficial fields of study include finance, management, accounting or economics
• 5 to 6 years of experience
• Must have advanced proficiency in Microsoft Office products
• Must have demonstrated experience in research and analysis of various industry sectors
• Strong quantitative skills and/or modeling preferred
• Experience in consulting, financial or marketing analysis preferred
• Experience using enterprise information systems (such as BSR/Sungard ADVANCE, Salesforce, etc.)
• Strong interpersonal, verbal and written communication skills required
• Prospect Research and Analysis Assistant Director position must have the ability to form partnerships with a variety of constituencies, including research analysts, development officers, senior directors and administrative assistants. This position collaborates and consults with field officers, senior management and others on matters pertaining to industry insight, analytics and foresight/predictive analysis. Must have strong leadership skills, exhibited in the ability to motivate and influence others. The willingness to think innovatively in order to creatively solve problems is essential, in addition to the ability to translate ideas into action. This position requires demonstrated analytical and project management skills, high attention to detail and follow up, and excellent organizational skills

Analyst, Audience Research & Analysis Resume Examples & Samples

• Provide audience data across several linear and digital platforms across Asia using various ratings systems/software
• Assist in creating engaging and client ready research-based sales materials to support both TVD and Networks
• Gather research and intelligence on competitive landscape, clients, digital, and programming trends within the designated markets
• Prepare regular reports to support Networks and Distribution businesses
• Help automate/simplify report generation process
• Reports directly to the Director of Research
• A university degree and a minimum of 1-2 years media research experience, preferably with a content distributor/studio, broadcast or cable network, ad agency, internet company, digital service/platform or research firm
• High proficiency with Microsoft Excel and PowerPoint, including knowledge of advanced functions
• Competence with various research software/tools such as ITVR, Spredfast, Infosys, Evogenius is preferred
• Familiarity with TV and digital research terminology and methodology is an added advantage
• Familiarity with evolving landscape as it relates to TV, media, entertainment and digital
• Ability to read and write Chinese preferred

Related Job Titles

Research Data Analyst 1

🔍 school of medicine, stanford, california, united states.

DESIRED QUALIFICATIONS:

•     BA degree in psychology, neuroscience, or statistics
• Experience with complex human subjects’ data management.
• Experience working in research or academic setting.
• Knowledge of statistical and machine learning techniques for data analysis.
• Familiarity with fMRI data analysis techniques
• Familiarity with data visualization tools.
• Ability to manage multiple projects and deadlines.
•   Proficiency in statistical analysis software (e.g., SPSS, R, Python)
• Experience working with complex datasets. 

EDUCATION & EXPERIENCE (REQUIRED):

•   Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering.

KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):

• Substantial experience with MS Office and analytical programs.
• Strong writing, problem solving and analytical skills.
• Ability to prioritize workload.

PHYSICAL REQUIREMENTS*:

•   Sitting in place at computer for long periods of time with extensive keyboarding/dexterity.
•   Occasionally use a telephone.
• Rarely writing by hand.

* - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.

WORKING CONDITIONS:

•   Position may at times require the employee to work with or be in areas where hazardous materials and/or exposure to chemicals, blood, body fluid or tissues and risk of exposure to contagious diseases and infections
• The work arrangement for this position will be on-site and will be based on the Stanford main campus.

The expected pay range for this position is $64,480 to $97,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.

* - Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

• Schedule: Full-time
• Job Code: 4751
• Employee Status: Regular
• Requisition ID: 102797
• Work Arrangement : On Site

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 School of Medicine: Porter Drive, Stanford, California, United States

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Research Analyst- Law Library

How to apply.

A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position.

The University of Michigan Law School seeks a Research Analyst in Empirical Legal Studies to support faculty empirical research projects relating to a variety of substantive fields in law and policy. The successful candidate will spend most of their time on data collection, management, analysis, and visualization. Research Analysts collaborate with multiple faculty across a range of projects, assisting on all relevant aspects of those projects. Research Analysts will also acquire new skills as needed, collect and distill relevant literature, and assist in development of manuscripts for publication, presentations, and testimony.

Empirical Legal Studies Research Analysts have assisted on a wide-range of academic projects:

• Using case-level data to measure and interpret racial disparities in prosecutorial decision-making
• Studying homeowners' ability to understand consumer insurance contracts via survey responses
• Exploring the role of beliefs about the legal enforceability of non-competition clauses in employment contracts
• Investigating barriers to criminal record expungements and the labor market and public safety consequences of record clearing
• Analyzing settlement contract terms to better understand the welfare consequences of settlement in litigation
• Unpacking lessons from data from the National Registry of Exonerations and,
• Interrogating the impact of technology in courts on pro se litigants' perceptions of procedural justice and access-to-justice

Empirical Legal Research is part of the Law Library, with additional coordination supplied by the Associate Dean for Faculty and Research. The Research Analyst may also coordinate the work of one or more undergraduate students working on data coding and cleaning and other entry-level statistical and data work.

The Initial appointment for position is two years with a possibility for a third year renewal; the position is ideal for candidates planning to apply to graduate programs in empirical economics, statistics, or another social science discipline involving quantitative methods.  

Founded in 1859, Michigan Law School is one of the world's leading institutions of legal education and enjoys a reputation for academic excellence characterized by a powerful commitment to diversity, equity, and inclusion. Michigan is consistently ranked among the top law schools in the nation, and enjoys international renown for its intellectual rigor, stunning physical surroundings, preeminent faculty scholarship, and a community noted for collegiality and warmth. Michigan Law has an exceptional and cooperative community of talented and interesting students, with 1000 in the JD and 40 in the LLM program. Our commitments to collegiality, to constructive and challenging debate, and to enabling our students to pursue a wide range of options explain why the Law School has long been committed to diversity along many dimensions. Our graduates serve with distinction in the private, public, non-profit, and academic sectors, in large numbers in every major market in the nation, as well as internationally. The University of Michigan is located in Ann Arbor, Michigan, which is considered among the best places in the United States to live and work.

At Michigan Law, we view our commitment to diversity, equity, and inclusion as central to our mission as an educational institution and we seek to ensure that each member of our community has a full opportunity to thrive in our environment. We believe that diversity is key to individual flourishing, educational excellence, and the advancement of knowledge. We maintain a deep commitment to fostering a diverse community in which all students, staff, and faculty learn and work in an atmosphere of inclusion and respect.  

Required Qualifications*

• Bachelor's degree in statistics, economics, data science, or a social science discipline that requires quantitative methods training
• Data management and analysis experience
• Demonstrated capacity in quantitative research methods
• Coding experience in Stata
• Mastery of Microsoft Excel
• Excellent communication, interpersonal, and organizational skills, including the ability to track research and report project statistics
• Excellent time-management skills, demonstrated ability to handle multiple competing priorities and meet deadlines, and ability to work effectively with minimal supervision
• Exceptional research and analytical writing skills

Desired Qualifications*

• Any form of advanced training in statistics, economics, data science, or quantitative social science
• Programming experience in Python
• Programming experience in R
• Experience with ArcGIS or other mapping software

Application Deadline

Job openings are posted for a minimum of seven calendar days. The review and selection process may begin as early as the eighth day after posting. This job may be removed from posting boards and filled any time after the minimum posting period has ended.  

U-M EEO/AA Statement

The University of Michigan is an equal opportunity/affirmative action employer.

AI Index Report

The AI Index Report tracks, collates, distills, and visualizes data related to artificial intelligence. Our mission is to provide unbiased, rigorously vetted, broadly sourced data in order for policymakers, researchers, executives, journalists, and the general public to develop a more thorough and nuanced understanding of the complex field of AI. The report aims to be the world’s most credible and authoritative source for data and insights about AI.

Read the 2023 AI Index Report

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Steering Committee Co-Directors

Ray Perrault

Steering committee members.

Erik Brynjolfsson

John Etchemendy

Katrina Ligett

Terah Lyons

James Manyika

Juan Carlos Niebles

Vanessa Parli

Yoav Shoham

Russell Wald

Staff members.

Loredana Fattorini

Nestor Maslej

Letter from the co-directors.

AI has moved into its era of deployment; throughout 2022 and the beginning of 2023, new large-scale AI models have been released every month. These models, such as ChatGPT, Stable Diffusion, Whisper, and DALL-E 2, are capable of an increasingly broad range of tasks, from text manipulation and analysis, to image generation, to unprecedentedly good speech recognition. These systems demonstrate capabilities in question answering, and the generation of text, image, and code unimagined a decade ago, and they outperform the state of the art on many benchmarks, old and new. However, they are prone to hallucination, routinely biased, and can be tricked into serving nefarious aims, highlighting the complicated ethical challenges associated with their deployment.

Although 2022 was the first year in a decade where private AI investment decreased, AI is still a topic of great interest to policymakers, industry leaders, researchers, and the public. Policymakers are talking about AI more than ever before. Industry leaders that have integrated AI into their businesses are seeing tangible cost and revenue benefits. The number of AI publications and collaborations continues to increase. And the public is forming sharper opinions about AI and which elements they like or dislike.

AI will continue to improve and, as such, become a greater part of all our lives. Given the increased presence of this technology and its potential for massive disruption, we should all begin thinking more critically about how exactly we want AI to be developed and deployed. We should also ask questions about who is deploying it—as our analysis shows, AI is increasingly defined by the actions of a small set of private sector actors, rather than a broader range of societal actors. This year’s AI Index paints a picture of where we are so far with AI, in order to highlight what might await us in the future.

- Jack Clark and Ray Perrault

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Regions & Countries

2. how teachers manage their workload.

The vast majority of teachers say there’s not enough time in the workday to accomplish all that’s expected of them. Some 84% say they don’t have enough time during their regular work hours to do tasks like grading, lesson planning, paperwork and answering emails.

Reasons it’s so hard to get everything done during the workday

We asked teachers who say they don’t have enough time to get all their work done in their regular work hours about some of the possible underlying causes.

Most say simply having too much work is a major reason they don’t have enough time to get everything done.

Smaller shares say these factors are major reasons:

• Often having to perform non-teaching duties such as hallway or lunch duty (24%)
• Often spending time helping students outside class time (22%)
• Often having to cover for another teacher’s class when they aren’t available (16%)

Shares ranging from 51% to 72% say each of these is at least a minor reason they don’t have enough time to get all their work done during regular work hours.

Staffing issues

Staffing shortages in K-12 public schools have been widely reported. These shortages extend from classroom teachers to non-teaching staff. Seven-in-ten public K-12 teachers say their school is understaffed, with 15% saying it’s very understaffed and 55% saying it’s somewhat understaffed.

This pattern is consistent across elementary, middle and high schools.

Teachers in medium-poverty schools (18%) and high-poverty schools (19%) are more likely than those in low-poverty schools (11%) to say their school is very understaffed.

Balancing work and personal life

Given all of these challenges, it’s not surprising that a majority of teachers (54%) say it’s difficult for them to balance work and their personal life – 16% say this is very difficult, and 37% say it’s somewhat difficult.

About one-in-four say it’s very easy (6%) or somewhat easy (20%) for them to balance work and their personal life. And 20% say it’s neither easy nor difficult.

Work-life balance is more difficult for teachers who are women than for those who are men (57% vs. 43% say this is very or somewhat difficult).

How teachers experience their jobs

Large majorities of teachers say they find their job to be stressful (77%) and overwhelming (68%) extremely often or often.

Smaller majorities say their job is frequently fulfilling (56%) or enjoyable (53%).

Among teachers, women are more likely than men to say their job is frequently stressful or overwhelming. For example, 74% of women teachers say they find teaching to be overwhelming extremely often or often, compared with 49% of men.

Feeling stressed or overwhelmed is also more common among elementary and middle school teachers than among high school teachers.

When it comes to experiencing positive emotions, teachers who are newer to the profession are more likely than those with longer tenures to say they frequently find their job to be fulfilling.

Among those who’ve been teaching for less than six years, 67% say their job is fulfilling extremely often or often. This compares with 52% among those who’ve been teaching for six to 10 years, and 54% among those with more than 10 years of teaching experience.

Newer teachers are also more likely than those who’ve been in the profession for more than 10 years to say they frequently find their job to be enjoyable.

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Report Materials

Table of contents, ‘back to school’ means anytime from late july to after labor day, depending on where in the u.s. you live, among many u.s. children, reading for fun has become less common, federal data shows, most european students learn english in school, for u.s. teens today, summer means more schooling and less leisure time than in the past, about one-in-six u.s. teachers work second jobs – and not just in the summer, most popular.

About Pew Research Center Pew Research Center is a nonpartisan fact tank that informs the public about the issues, attitudes and trends shaping the world. It conducts public opinion polling, demographic research, media content analysis and other empirical social science research. Pew Research Center does not take policy positions. It is a subsidiary of The Pew Charitable Trusts .