Research Analyst

Research Analyst Resume Keywords and Skills (Hard Skills)

Here are the keywords and skills that appear most frequently on recent Research Analyst job postings. In other words, these are the most sought after skills by recruiters and hiring managers. Go to Sample Templates ↓ below to see how to include them on your resume.

Remember that every job is different. Instead of including all keywords on your resume, identify those that are most relevant to the job you're applying to. Use the free Targeted Resume tool to help with this.

Choose a category
  • AutoCAD
  • Microsoft Access
  • Geographic Information Systems (GIS)
  • Data Analysis
  • Project Management
  • Quantum GIS
  • Cartography
  •  Find out what your resume's missing
  • Research
  • Market Research
  • ArcGIS Products
  • Statistics
  • Project Planning
  • Marketing
  • Engineering
  • SIG
  • Sustainable Development
  • Management
  • R (Programming Language)
  • Secondary Research
  • Primary Research
  • Lead Generation
  • Analytics
  • Qualitative Research
  • Business Analysis
  • Quantitative Research
  • Financial Analysis
  • Customer Relationship Management (CRM)
  • Online Research
  • Competitive Analysis
  • Market Analysis
  • Business Strategy

  •   Show full list

Resume Skills: Data Analysis

Resume Skills: Research & Analysis

  • Market Analysis
  • Consumer Behavior Analysis
  • Competitive Analysis
  • Statistical Analysis
  • Quantitative & qualitative research
  • Competitive Intelligence
  • Data Mining
  • Predictive Analytics
  •  Match your resume to these skills

Resume Skills: Programming

Resume Skills: Research Tools

Resume Skills: Statistics

Resume Skills: Predictive Modelling

Resume Skills: Tools & Frameworks

Resume Skills: Marketing

Resume Skills: Project Management

Resume Skills: Statistical Modelling

Resume Skills: Databases

Resume Skills: Data Visualization

Resume Skills: Machine Learning

Resume Skills: Operating Systems

Resume Skills: Research Techniques

Resume Skills: Biological Sciences

  Does your resume contain all the right skills? Paste in your resume in the AI Resume Scan ↓ section below and get an instant score.

Compare Your Resume To These Research Analyst Skills (ATS Scan)

Paste your resume below and our AI will identify which keywords are missing from your resume from the list above (and what you need to include). Including the right keywords will help you get past Applicant Tracking Systems (i.e. resume screeners) which may scan your resume for keywords to see if you're a match for the job.

Sample Research Analyst Resume Examples: How To Include These Skills

Add keywords directly into your resume's work experiences, education or Skills section, like we've shown in the examples below. Use the examples below as inspiration.

Select a free resume example
Your Name
Research Analyst
City, Country  •  (123) 456-789  •  [email protected]  •
Resume Worded March 2019 - Present
Senior Research Analyst
Conducted primary and secondary research analysis, resulting in a 30% increase in lead generation.
Developed rigorous statistical models using R programming language, boosting accuracy of forecasting by 25%.
Applied GIS tools in the analysis of geographical data, improving research accuracy and efficiency by 40%.
Managed project timelines and task distribution effectively, maintaining on-time delivery of research projects.
Designed and implemented a new data analysis process, resulting in a 15% rise in departmental efficiency. January 2017 - February 2019
Research Analyst
Leveraged ArcGIS Products to improve mapping data quality, enhancing overall research projects by 20%.
Performed in-depth market research and analysis, driving a 10% increase in client satisfaction.
Harnessed Quantum GIS for spatial data manipulation, enhancing project quality by 15%.
Nielsen Holdings April 2015 - December 2016
Junior Research Analyst
Used AutoCAD and Microsoft Access in managing datasets, improving data management by 25%.
Assisted in handling and analyzing statistical data, providing insights crucial for decision-making and strategy formulation.
Resume Worded Academic Center February 2017
Master of Science - Data Analysis
Top 5% of Class
Resume Worded University April 2015
Bachelor of Science - Economics
Majored in Economic Theory with a minor in Applied Statistics
Dean's List 2014 (Top 10%)
Data Analysis: SPSS, SAS, MATLAB, R, Stata, Tableau
Research Tools: Microsoft Office Suite, SQL, Google Research, Python (NumPy, Pandas)
Statistics: Descriptive Analysis, Regression Analysis, Correlation, Statistical Hypothesis Testing
Predictive Modelling: Neural Networks, Decision Trees, SVM, K-NN, Random Forest
Certifications: SAS Certified Big Data Professional, Certified in Risk and Information Systems Control (CRISC)
Professional Development: Completed multiple Coursera courses on Applied Data Science and Machine Learning
Projects: Developed a predictive model to forecast stock market trends based on economic indicators.
Publications: Published 5+ research papers in highly-regarded economic journals.
Your Name
Market Research Analyst
City, Country  •  (123) 456-789  •  [email protected]  •
EXPERIENCE January 2020 - Present
Senior Market Research Analyst
Implemented a unique market research strategy, boosting lead generation by an outstanding 35%.
Utilized Geographic Information Systems (GIS) for detailed regional analysis, improving targeting accuracy by 20%.
Pioneered a proficient use of R programming language in predictive modeling, boosting accuracy by 18%.
Facilitated project planning and coordination, reducing the cost overrun percentage by 15%.
Propounded sustainable development concepts in research, increasing overall company sustainability score by 5%.
Resume Worded August 2017 - December 2019
Market Research Analyst
Leveraged in-depth primary research, accelerating market understanding by 20%.
Utilized ArcGIS products to improve regional market data quality, boosting research quality by 18%.
Optimized marketing techniques through rigorous data analysis, increasing campaign success rate by 10%.
Deloitte June 2015 - July 2017
Assistant Market Research Analyst
Enhanced data analysis efficiency by 20% using Microsoft Access and AutoCAD for improved data management.
Supported team in market research, contributed to a 7% increase in client satisfaction.
Resume Worded University January 2020 - Present
Master of Business Administration - Marketing
Specialized in Market Strategy, Consumer Behavior Analysis
Resume Worded Institute June 2011 - May 2015
Bachelor of Statistics
Acquired a broad knowledge of statistical application in market research
Part-time while working at Deloitte
Research & Analysis: Market Analysis, Consumer Behavior Analysis, Competitive Analysis, Statistical Analysis
Tools & Frameworks: SAS Analytics, Google Analytics, Tableau, SPSS, Excel, SQL
Marketing: Content Marketing, SEO, SEM, Social Media Advertising, CRM, Direct Marketing
Project Management: Agile Methodology, Budgeting, Scheduling, Stakeholder Communication, Risk Management
Certifications: Certified Market Research Professional (CMRP), Google Analytics Individual Qualification
Projects: Developed a comprehensive market entry strategy for a major tech startup, resulting in a 45% increase in sales
Volunteer Experience: Co-founder of Resume Worded's annual charity run, raising over $50k for local charities
Publications: Published research titled 'Harnessing Consumer Behavior for Effective Marketing' in 'Market Research Today' journal
Your Name
Data Analyst
City, Country  •  (123) 456-789  •  [email protected]  •
Resume Worded May 2019 - Present
Senior Data Analyst
Formulated innovative data interpretation and analysis techniques, resulting in a 20% boost in business development.
Designed efficient data architecture using AutoCAD, enhancing data integrity by 30%.
Leveraged R programming and statistical methods to extract insights from complex data, leading to a 15% improvement in decision-making.
Applied GIS technology for superior data visualization, resulting in a 25% increase in data usability.
Managed and streamlined large-scale project planning, resulting in a 10% increase in project completion efficiency. February 2017 - April 2019
Data Analyst
Used Quantum GIS to manipulate and analyze spatial data, enhancing project quality by 20%.
Conducted extensive secondary research using various data accumulation methods, boosting research authenticity by 25%.
Participated in engineering data quality improvement initiatives, resulting in a 15% decline in data-related issues.
IBM July 2015 - January 2017
Junior Data Analyst
Streamlined large datasets using Microsoft Access, improving data handling efficiency by 20%.
Supported in the development of data models, contributing to a 10% increase in prediction accuracy.
Resume Worded University May 2019
Master of Science in Data Science and Statistics
GPA: 3.9 out of 4.0, Participated in cutting-edge data analysis projects like analyzing the impact of economic factors on housing prices
Resume Worded Institute June 2015
Bachelor of Science in Computer Science with minor in Mathematics
Concentrated on Statistical Modelling, Database Systems, Data Visualization, and Algorithms
Graduated cum laude (Top 10% of the class), Member of the Math Club
Data Analysis Tools: SAS, SPSS, MATLAB, Tableau, Excel, PowerBI
Programming Languages: Python (Pandas, NumPy, Scikit-learn), SQL, R, Java, C++
Statistical Modelling: Regression Analysis, Hypothesis Testing, Time Series Analysis, Cluster Analysis, Machine Learning
Databases: Oracle, MySQL, MS SQL Server, MongoDB
Certifications: Certified Data Professional - Institute of Data Management, Tableau Certified Associate
Projects: Analysis of Sales trends of an online store using Python (Repository available on GitHub)
Awards: Data Analyst of the Year - Resume Worded (2020)
Volunteering: Mentor - Girls Who Code, Statistics Tutor - Community College
Your Name
Quantitative Research Analyst
City, Country  •  (123) 456-789  •  [email protected]  •
EXPERIENCE January 2021 - Present
Senior Quantitative Research Analyst
Designed an asset allocation model that enhanced the overall portfolio return by 15% using Quantitative Analytics and Portfolio Optimization strategies.
Improved statistical data quality by 20% through the creation of rigorous validation algorithms using R and Python languages.
Used Machine Learning to market predictions, improving the equity selection process by 30%.
Implemented a financial modeling system using MATLAB that increased operational efficiency of fixed income market predictions by 30%.
Developed an innovative quantitative equity research strategy, significantly improving trading strategies and managing a $150 million portfolio that generated a return of 20% annually.
Goldman Sachs June 2018 - December 2020
Quantitative Research Analyst
Progressed the firm's quantitative finance innovations resulting in a 10% increase in revenue through effective use of Bloomberg technologies.
Implemented statistical modeling techniques to optimize derivative pricing, which reduced the risk profile by 20%.
Increased process efficiency in portfolio management by 25% through automation with the use of C++.
Resume Worded May 2016 - June 2018
Junior Quantitative Analyst
Leveraged R and Python programming skills to build models predicting market trends, resulting in a 10% boost in forecasting accuracy.
Contributed to the development and enhancement of asset management strategies, optimizing the firm’s investment portfolio with a 15% increase in profits over two years.
Conducted detailed quantitative analytics, equipping the team with data-driven insight for investment decisions.
Resume Worded University May 2016
Master of Science in Financial Engineering
Specialization in Statistical Analysis and Portfolio Theory
Resume Worded Institute June 2014
Bachelor of Science in Applied Mathematics
Graduated Magna Cum Laude
Concentration in Quantitative Finance
Programming & Tools: Python, R, SAS, Stata, SQL, MATLab, Tableau
Statistical Techniques: Regression Analysis, Time Series Analysis, Hypothesis Testing, Data Mining, Predictive Modeling, Monte Carlo Methods
Finance & Economics: Financial Modeling, Corporate Finance, Financial Markets, Econometrics, Derivatives Pricing
Languages: English (Native), Spanish (Fluent), French (Intermediate)
Certifications: Chartered Financial Analyst (CFA) Level 2 (2021), Financial Risk Manager (FRM) (2019)
Projects: Designed an advanced risk assessment model to mitigate financial losses this model was later adopted by
Professional Development: SPSS Programming: Data Manipulation and Analysis, IBM (2022)
Volunteering: Math Tutor, Resume Worded Academic Center (2017)
Your Name
Quantitative Portfolio Manager
City, Country  •  (123) 456-789  •  [email protected]  •
EXPERIENCE February 2021 - Present
Quantitative Portfolio Manager
Constructed portfolio optimization strategies that boosted risk-adjusted returns by 25% using advanced statistical modeling principles.
Improved portfolio management workflow by 20% by automating processes using Python and MATLAB.
Developed an advanced risk management framework using Machine Learning and Quantitative Finance, reducing drawdowns by 30% in quant strategies.
Managed a $500 million portfolio, delivering consistent annual returns exceeding 20%.
Implemented a financial modeling system reducing pricing errors in derivatives by 15%.
Morgan Stanley August 2017 - January 2021
Senior Quantitative Research Analyst
Lead a team applying Quantitative Analytics in asset allocation decision making resulting in a 15% increase in returns.
Spearheaded the application of machine learning in statistical modeling, enhancing prediction accuracy by 25%.
Automated routine processes with the use of R and Python, boosting productivity for the entire team by 20%.
Resume Worded June 2015 - August 2017
Quantitative Research Analyst
Enhanced data cleansing processes using SQL; improved data quality by 30%.
Contributed to the development of an automated reporting system using C++, markedly boosting the efficiency of our financial performance tracking.
Performed rigorous statistical analysis on portfolio data to enable evidence-based investment decisions.
Resume Worded University Jan 2015
Master of Quantitative Finance
Courses included Advanced Econometrics, Math, and Statistics while launching a portfolio simulation club
Resume Worded University June 2013
Bachelor of Mathematics & Economics
Academic Distinction in Economics, attended Quantitative Finance seminars
Software: R, MATLAB, SQL, Python, Microsoft Excel
Statistical Techniques: Time Series Analysis, Regression Analysis, Stochastic, Volatility Models, Monte-Carlo Simulation
Financial Knowledge: Asset Pricing, Derivatives, Modern Portfolio Theory, Capital Markets, Risk Management
Other Quantitive Tools: Bloomberg Terminal, Alpha generation, Thomson Reuters Eikon, RiskMetrics
Certifications: Chartered Financial Analyst (CFA) Level II, Financial Risk Manager (FRM)
Professional Development: Attended workshops on Algorithmic trading, Machine learning in Finance
Leadership & Volunteering: Mentor for young finance professionals, Organizer for City's Tech and Quant Meetup
Financial Projects: Developed a self-learning trading bot using Python and R, beating S&P by 6%
Your Name
Quantitative Analyst
City, Country  •  (123) 456-789  •  [email protected]  •
Resume Worded March 2021 - Present
Quantitative Analyst
Implemented machine learning algorithms leading to a 15% increase in predictive accuracy for fixed income products.
Developed a quantitative financial model using R which led to a 10% improvement in the bond pricing strategy.
Streamlined datasets using SQL, leading to 20% improved accessibility and efficacy of data usage.
Pioneered the development of a proprietary portfolio optimization model in Python reducing trading costs by 15%.
Leveraged Bloomberg platform to conduct detailed market research which influenced investment decisions and led to an annual portfolio return increase of 10%.
J.P. Morgan January 2019 - February 2021
Junior Quantitative Analyst
Optimized derivatives pricing models using MATLAB, reducing pricing errors by 15%.
Enhanced the forecast accuracy of equity positions by 20% using rigorous quantitative research techniques.
Used R programming to automate reporting tasks, reducing errors and saving 20 hours of manual work per week. June 2017 - January 2019
Quantitative Analyst Intern
Assisted in the development of robust financial models using Quantitative Analytics, increasing the team's productivity by 10%.
Employed Python language to automate tasks leading to a 15% improvement in work efficiency.
Contributed to a novel risk management project reducing portfolio risk by 20%.
Resume Worded University May 2018
Master of Science in Finance & Quantitative Studies
Focused on econometrics, financial modeling and quantitative methods
Resume Worded Academic Center May 2016
Bachelor of Science in Mathematics
Minors in Computer Science and Economics
Participated in Quantitative Analysis modules and workshops
Quantitative Analysis: Statistical Modeling, Risk Management, Financial Analysis, Data Mining, Time series analysis, Pricing Analysis
Programming Languages: Python, R, SQL, Java, C++, MATLAB
Software & Tools: Tableau, SPSS, SAS, Excel, Stata, Bloomberg Terminal
Machine Learning: Regression Models, Neural Networks, Decision Trees, Support Vector Machines, Random Forest, Gradient Boosting
Certifications: Certified Financial Risk Manager (FRM), Chartered Financial Analyst (CFA) Level II
Professional Development: Advanced Data Science with Python Certification, Advanced Financial Modeling & Valuation Course
Projects: Developed a predictive model for financial risk assessment which improved prediction accuracy by 15%
Your Name
Clinical Analyst
City, Country  •  (123) 456-789  •  [email protected]  •
Resume Worded January 2020 - Present
Senior Clinical Analyst
Harmonized data quality across 3 different Healthcare Information Technology (HIT) systems, improving data accuracy by 85%
Successfully led Cerner software implementation, addressing system-wide deficiencies and enhancing patient care
Conducted extensive clinical research, testing new informatics tools to provide recommendations, resulting in 30% efficiency improvement in Inpatient Care February 2017 - December 2019
Clinical Systems Analyst
Established an effective privacy strategy, ensuring 100% compliance with U.S. Health Insurance Portability and Accountability Act (HIPAA)
Developed an Ambulatory Care model utilizing Meditech software to streamline processes, reducing patient waiting time by 45%
Improved user-interface of Electronic Medical Record (EMR) by integrating HL7 standard, improving accessibility and user-friendliness for healthcare providers
Mayo Clinic January 2015 - January 2017
Junior Clinical Analyst
Generated high-quality clinical reports, optimizing data management and enhancing patient safety
Assisted in the development of detailed software documentation, ensuring accurate record-keeping
Collaborated in the adoption of Epic Systems, improving data integrity and reducing healthcare management costs
Resume Worded Academic Center December 2016
Master of Science - Health Informatics
Courses: Advanced Health Data Management, Clinical Decision Support Systems
Resume Worded University June 2014
Bachelor of Science - Healthcare Administration
Focus on Data Management and Analytics
Awards: Dean's List 2014 (Top 10%)
Systems & Software: EPIC Systems, Cerner, AllScripts, MEDITECH, Python (Intermediate)
Health Informatics Tools: Crystal Reports, SQL Server Reporting Services, Tableau, MS Access
Interoperability Standards: HL7, FHIR, DICOM, ICD-10, CPT, SNOMED CT
Analysis & Project Management: Requirement Analysis, Gap Analysis, Risk Assessment, Agile/Scrum Methodology
Certifications: Certified Professional in Healthcare Information and Management Systems (CPHIMS), Six Sigma Green Belt
Trainings: MLP Training: Health Data Analytics, Project Management Institute: Agile Project Management
Leadership & Volunteering: Co-chair, Local Chapter, American Health Information Management Association (AHIMA), Resume Worded Foundation (Board Member and Fundraising Team Leader)
Publications: Co-author, 'Data-Driven Healthcare: Applications and Implications', Published in Health IT Journal
Your Name
Healthcare IT Analyst
City, Country  •  (123) 456-789  •  [email protected]  •
Resume Worded March 2019 - Present
Lead Healthcare IT Analyst
Spearheaded the adoption of informatics in decision-making, reducing system inefficiencies by 40%
Piloted an initiative to enforce U.S. Health Insurance Portability and Accountability Act (HIPAA), greatly increasing patient data security
Implemented HL7 standard in EMR, enhancing data exchange, integration, and sharing April 2016 - February 2019
Healthcare IT Analyst
Strengthened healthcare management by creating an innovative platform utilizing Cerner and Meditech software
Assisted in clinical research projects, leading to improved Inpatient Care protocol
Developed a database using Epic Systems, thereby reducing the time taken for data retrieval by 30%
Cleveland Clinic May 2013 - March 2016
IT Support Specialist
Managed troubleshooting for Clinical Analysts within the Computerized Physician Order Entry(CPOE) system
Streamlined information flow, increasing the efficiency of Nursing team by 20%
Responsible for keeping all software documentation up-to-date, thereby reducing issues related to missing or outdated information by 75%
Resume Worded University February 2016
Master of Science in Health Informatics
Specialization in IT Project Management
Resume Worded Academic Center April 2013
Bachelor of Science – Computer Science
Minors in Health Informatics and Data Science
Final Year Project: Design of Patient Data Management System
Technical Skills: Python, C++, Java, SQL, XML, HTML
Operating Systems: Windows, Linux, Mac OS
Database Management: Oracle, PostgreSQL, MS SQL Server, MySQL, MongoDB
Healthcare IT Tools: Cerner, Epic Systems, McKesson, Siemens, MEDITECH
Certifications: Healthcare Information and Management Systems Society (HIMSS) Certified Professional in Healthcare Information and Management Systems (CPHIMS), Certified Associate in Healthcare Information & Management Systems (CAHIMS)
Projects: Led development of a patient data analysis application for Hospital at, resulting in 15% efficiency increase
Leadership & Volunteering: Volunteered at local community health center, assisting with moving their health records online
Awards: ‘Healthcare IT Innovator of the Year’ at in 2018
Your Name
Health Informatics Specialist
City, Country  •  (123) 456-789  •  [email protected]  •
Resume Worded June 2018 - Present
Senior Health Informatics Specialist
Developed an innovative strategy to enhance EMR, leading to a 60% improvement in Hospitals' data management
Oversaw the successful integration of HL7 Standards in healthcare systems, improving interoperability
Led a team in performing extensive clinical research, resulting in a significant improvement in Patient Safety July 2015 - May 2018
Health Informatics Specialist
Implemented new procedures for Inpatient Care, resulting in a 25% increase in efficiency
Assisted in the development and implementation of HIPAA compliance strategy, protecting patient data
Expedited patient care in the hospital setting by efficiently managing data through Epic Systems
Johns Hopkins Hospital June 2012 - June 2015
Clinical Data Analyst
Leveraged Meditech software to enhance data accuracy in Ambulatory Care
Implemented Cerner to optimize resource management, reducing associated costs by 15%
Improved software documentation, contributing to better understanding and use of healthcare IT applications among staff
Resume Worded University June 2015
Master of Science - Health Informatics
Focused on Health Information Management systems and Health Data Analysis
Resume Worded Institute May 2012
Bachelor of Science - Health Information Management
Concentrated studies in Healthcare IT, Data Analysis and Management, System Analysis
Dean's List 2010 (Top 10%)
Healthcare Data Management: HL7, FHIR, SNOMED, LOINC
Data Analysis & BI Tools: SQL, R, Python (Pandas, Matplotlib), Tableau, PowerBI
EMR/EHR Platforms: EPIC, Cerner, NextGen Healthcare
Data Security & Compliance: HIPAA, PII, PHI, PCI
Certifications: Certified Health Data Analyst (CHDA), Certified Professional in Health Informatics (CPHI)
Continuing Education: Advanced Data Management for Health Informatics Course, Machine Learning for Health Informatics
Publications & Presentations: Published research paper on 'Future of Health Informatics' in HIMSS Journal, Presented findings on 'Impact of Machine Learning on Health Informatics' at AHIMA conference 2020
Volunteering: Data Analytics Consultant for Health for All, providing insights to drive optimal service delivery

How do I add skills to a Research Analyst resume?

Review the job posting closely.

Go through the Research Analyst posting you're applying to, and identify hard skills the company is looking for. For example, skills like Data Analysis, AutoCAD and Geographic Information Systems (GIS) are possible skills. These are skills you should try to include on your resume.

Add industry skills like Cartography and Project Management.

Add other common skills from your industry - such as Microsoft Access, Quantum GIS and Research - into your resume if they're relevant.

Add skills into your work experience.

Incorporate skills - like SIG, Secondary Research and Online Research - into your work experience too. This shows hiring managers that you have practical experience with these tools, techniques and skills.

Emphasize your ability to solve problems.

Recruiters want to know that you're the kind of person that can solve new and challenging problems. In your Research Analyst resume, highlight projects that involved problems that were technically complex or mattered to the company.

Show evidence of your analytical skills.

Analytical skills involve your ability to break down a problem and come up with effective solutions. On Research Analyst resumes, hiring managers want to see evidence of how you analyzed quantitative or qualitative data.

Use the exact job title.

Try to add the exact job title, Research Analyst, somewhere into your resume to get past resume screeners. See the infographic for how to do this.

Word Cloud for Research Analyst Skills & Keywords

The following word cloud highlights the most popular keywords that appear on Research Analyst job descriptions. The bigger the word, the more frequently it shows up on employer's job postings. If you have experience with these keywords, include them on your resume.

Top Research Analyst Skills and Keywords to Include On Your Resume

Research Analyst Soft Skills

Here are common soft skills that appear on Research Analyst job postings. Unlike hard skills, which refer to tools, software or techniques, soft skills focus on character traits and interpersonal skills. Instead of listing these phrases on your resume, try to show them through your bullet points like in the examples below.

  • Public Speaking

Tip: Do not list these words or phrases on your resume, and instead focus on the hard skills we described above.

Resume Skills and Keywords from Related Jobs

We also found variations and further specializations to your job title. Browse through the related job titles to find additional keywords that you can include into your resume.

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Research Analyst Resume Templates

Here are examples of proven resumes in related jobs and industries, approved by experienced hiring managers. Use them as inspiration when you're writing your own resume. You can even download and edit the resume template in Google Docs.

Resume Example
Clinical Research Assistant

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Laboratory Research Assistant

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Graduate Research Assistant

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Chemistry Research Student

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Policy and Research Policy Analyst

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Equity Research Associate

Browse Skills from Similar Jobs

Frequently Asked Questions

What skills should you add to a Research Analyst resume?

On top Research Analyst resumes, skills like AutoCAD, Microsoft Access, Geographic Information Systems (GIS), Data Analysis, Project Management, Quantum GIS, Cartography and Research appear most often.

Depending on the exact role you're applying to, skills like SIG, Secondary Research, Financial Analysis, Online Research and Market Research can also be effective keywords to include on your resume.

What are the differences in resume skills between a Data Research Analyst and a Quantitative Research Analyst?

If you are writing a Data Research Analyst resume, try to emphasize skills like Data Research, Data Analysis, Research, Data Mining, Market Research, Microsoft Access, Data Entry and Data Analytics.

Similarly, if you are writing a Quantitative Research Analyst resume, emphasize skills like Operating Lease, Quantitative Finance, Financial Modeling, Portfolio Optimization, Bloomberg, Statistical Modeling, Quantitative Analytics and MATLAB.

What are good resume skills to include for different Research Analyst roles and job titles?

Depending on the specific role you apply to, you may need to emphasize different skill sets. Here are a few examples:

  • Quantitative Research Analyst: R (Programming Language), Operating Lease, Quantitative Finance, Quantitative Research and Machine Learning
  • Investment Research Analyst: Financial Modeling, Investments, Investment Research, Financial Analysis and Valuation
  • Data Research Analyst: Data Research, Data Analysis, Research, Data Mining and Market Research
  • Marketing Research Analyst: Google Analytics, Marketing Strategy, Tableau, Survey Design and IBM SPSS
  • Market Research Analyst: Secondary Research, Market Analysis, Primary Research, Marketing and Lead Generation

Target your Resume to a Job Description

While the keywords above are a good indication of what skills you need on your resume, you should try to find additional keywords that are specific to the job. To do this, use the free Targeted Resume tool. It analyzes the job you are applying to and finds the most important keywords you need on your resume.

It is personalized to your resume, and is the best way to ensure your resume will pass the automated resume filters.

Start targeting your resume

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