Data Analyst Resume Examples in 2023

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Jacob Meade

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Jacob Meade is a resume writer and editor with nearly a decade of experience. His writing method centers on understanding and then expressing each person’s unique work history and strengths toward their career goal. Jacob has enjoyed working with jobseekers of all ages and career levels, finding that a clear and focused resume can help people from any walk of life. He is an Academy Certified Resume Writer (ACRW) with the Resume Writing Academy, and a Certified Professional Resume Writer (CPRW) with the Professional Association of Resume Writers & Career Coaches.

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Downloadable Resume Examples


Example #1 Entry-level


Example #2 Mid-career


Example #3 Senior-level

Data Analyst Resume Examples (Text Format)

Years of Experience
  • Entry-level Entry-level
  • Mid-career Mid-career
  • Senior-level Senior-level

Anna Jacobs

(123) 456-7890 | [email protected] | 123 Your Street, San Francisco, CA 94109


Healthcare-focused Data Analyst with experience working with EHR/EMR programs to develop comprehensive reports on patient care, billing, and readmission risk factors. Designed a system that improved readmission forecasting accuracy by 22% using logistical models, LDA, QDA, and tree classification.

Key Skills

  • Data Modeling
  • Data Mining
  • SQL, SAS, Tableau
  • Data Warehousing


Master of Science (MS) in Biostatistics, Georgetown University, Washington, DC | 2020

  • Demonstrated excellence in predictive analysis using large data sets
  • Capstone Project: Identified registration errors and automated scheduling corrections, reducing student wait times by 13%

Bachelor of Science (BS) in Mathematics, University of Florida, Gainesville | 2017

  • 3.6 GPA

Professional Experience

Data Analyst I, Agriculture Co., Washington, DC | January 2020 to Present

  • Used logistic regression to improve customer preference predictions, streamlining sales and raising profit by 8%
  • Wrote a script to quickly locate high-loss products and automated inventory updating via Excel and Access
  • Partnered with customer service to pinpoint common customer complaints, generating process changes that increased positive feedback rating from 76% to 89%

Healthcare Analyst, 123 Hospital, Gainesville, FL | November 2018 to December 2019

  • Used Crystal Reports to summarize data collected by the Florida Department of Health
  • Analyzed complex data sets and created presentations that used data to provide actionable intelligence
  • Organized and ran several fundraisers to provide scholarships to University of Florida students, both on-campus and remote

Melissa Jones

(123) 456-7890 | [email protected] | 123 Your Street, Annapolis, MD 21401


Systematic Data Analyst with strong recent experience in inventory control and warehouse fulfillment processes. Efficiently extract sales and inventory data, generating usable reports and processes to avoid back-ordering. Career highlights include boosting on-time fulfillment rates by 26%. Power-user of Excel, Tableau, SAS Enterprise Miner, SQL, and SharePoint. Master of Arts in Mathematics.

Professional Experience

Data Analyst, ABC Warehousing, Columbia, MD | March 2017 to Present

  • Gathered business intelligence on logistical processes, helping reduce yearly transportation costs by 12% ($800K)
  • Used trend data to reduce back-ordering by 19% for retail partners
  • Designed statistical analysis for large customer data sets, lowering cart abandonment rates by ~27%
  • Developed an update process that rolled out changes to all systems simultaneously, reducing downtime and streamlining warehouse operations

Data Analyst, XYZ Customer Service, Houston, TX | November 2013 to January 2017

  • Developed tools and queries for analyzing and summarizing failure data points
  • Designed a BOM tool and inventory model to track supply chain overorders, cutting costs $650K with no disruption to customer service
  • Collaborated with IT and purchasing departments to automate replacement ordering processes, eliminating a fulltime position and reducing backorders by 12%
  • Developed systems and tools to eliminate waste and reduce downtime and presented recommendations to C-suite executives


Master of Arts (MA) in Mathematics, Western Michigan University, Kalamazoo, MI | 2013

Bachelor of Science (BS) in Finance, University of Maryland, Baltimore | 2010

Key Skills

  • Data Gathering & Analysis
  • Pattern Recognition
  • Process Management
  • Project Management
  • Task Prioritization

Jeremy Myers

(123) 456-7890 | [email protected] | 123 Your Street, Houston, TX 77001


Data Analyst with strong recent experience helping drive growth for a home healthcare company. Develop reports using analytics and business intelligence to help guide decision-making. Recent highlights include creating tracking procedures that cut operating costs by 17%. Power-user of Excel, Tableau, Google Analytics, AdWords, SAS Enterprise Miner, SQL, and Microsoft SPSS.

Professional Experience

Operations Data Analyst, Home Health Co., Houston, TX | January 2015 to Present

  • Recommend, set up, and use IBM SPSS statistical software to track key data points
  • Use large data sets and Teradata to build statistical analysis models and reports
  • Collaborate with C-suite executives to interpret data points and draw actionable conclusions


  • Applied business insights from analysis to reduce operating costs by 17%
  • Created operational processes to reduce customer onboarding time, increasing profit 9%

Market Research Analyst, 123 Retailer, Houston, TX | November 2008 to December 2014

  • Pinpointed and analyzed potential markets and advertising opportunities, working with development teams to create targeted products and services
  • Compiled customer data into reports on behavior, trends, market conditions, and engagement levels


  • Used Google Analytics and Google Tag Manager to write scripts that resulted in a marketing lift of 18%


Master of Science (MS) in Supply Chain Management, Towson University, Towson, MD | 2014

Bachelor of Science (BS) in Statistics, University of Texas, Houston | 2010

Key Skills

  • Data Gathering & Analysis
  • Reporting & Documentation
  • Task Prioritization
  • Team Collaboration


Data Science Certificate, Cornell University | 2018

Tips for Writing a Better Data Analyst Resume

Show your ability to collect and manipulate data sets

A career as a data analyst requires an understanding of what data means in a business setting. The best data analysts don’t just crunch numbers – they predict trends, flag weaknesses, improve processes, and generate reports that inform and influence executives. Highlight these skills in your Experience section and demonstrate how they’ve generated value in a real-world business setting.


Designed BOM tool to better track inventory and identify unnecessary backorders, reducing customer wait times by 14%

Expert user of IBM SPSS and Teradata, developing reports from multiple data sets for operational excellence

Use the right narrative tense

When writing their job descriptions, many jobseekers mistakenly use the third-person narrative tense (“Collaborates with business leaders,” “Develops and implements programs,” etc.). This makes for awkward and strangely distant reading on the hiring manager’s part. It’s as if a candidate named Jimmy were to come in for an interview and say “Jimmy is glad to meet you; Jimmy would be excited to work for your company.”

A resume is just the written form of how you’d usually describe yourself. Therefore, you should use the first-person tense (“Collaborate with business leaders,” “Develop and implement programs,” etc.). When you’re drafting your resume, a quick way to know you’re using the correct verb tense is to start every sentence with “I,” then delete it and capitalize the first letter of the following verb.

Cite an achievement in your Profile

Consider incorporating one of your quantified achievements in your Profile. Doing so can make your resume’s introduction that much more compelling and specific to you. There’s a dead-simple way to do this. Just add a sentence that starts with “Recent highlights include” and then plug in whatever highlight you’d like to showcase.


Data Analyst with strong recent experience helping drive growth for a home healthcare company. Develop reports using analytics and business intelligence to help guide decision-making. Recent highlights include creating tracking procedures that cut operating costs by 17%. Power-user of Excel, Tableau, Google Analytics, AdWords, SAS Enterprise Miner, SQL, and Microsoft SPSS.

Common Key Skills for Data Analyst Resumes

One of the best ways to improve your resume is to add keywords.

That’s because most hiring companies now use an applicant tracking system (ATS), which scans each submitted resume for keywords relevant to the job opening at hand. When the company’s ATS finds a resume with many relevant keywords, it flags the document for the hiring manager.

To make your resume ATS-friendly, add a keyword-rich “Skills” or “Expertise” section (as in the examples above). Here are some common keywords for data analysts:

Key Skills & Proficiencies
Advanced Microsoft Excel Data Research & Mining
Data Visualization Data Warehousing
Pattern Recognition Python
R Programming Language Relational Databases
SQL Task Prioritization
Team Collaboration

Common Action Verbs for Data Analyst Resumes

One of the most common resume mistakes is using too few verbs. You may repeat the same generic verb (say, “Manage”) many times or rely on passive phrases like “Responsible for” or “Accountable for.” These tendencies can distract your reader and fail to show the dynamic nature of your work. The following list will help you mix up the verbs on your data analyst resume:

Action Words
Analyze Assess
Collect Combine
Communicate Evaluate
Extract Gather
Interpret Isolate
Model Organize
Process Review
Streamline Visualize

How to Align Your Resume With a Job Posting

For each job in your Experience section, consider adding a company description. You can place this description in brackets right next to or below the company name. It also helps to match formatting. For instance, if you’ve italicized the company name, italicize the company description too.

Company descriptions let you show any similarities between your past and desired employers. For instance, maybe you’ve worked for companies of a similar size or in the same industry. Or maybe you’ve worked at organizations with a similar core mission or leadership philosophy. By working these details into your descriptions, you can make your resume that much more relevant to the job at hand.

More Resume and Cover Letter Resources

The Bureau of Labor Statistics forecasts that jobs for data scientists will increase by about 36 percent between 2021 and 2031.

For more on finding opportunities in this fast-growing field, check out the links below: