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6 Data Analyst resume examples. Plus the keywords recruiters search for.

A data analyst resume that shows the decisions your analysis changed — with the SQL, BI and statistics keywords hiring teams filter on. Six full samples here: the one below, plus entry-level data analyst, marketing analyst, healthcare data analyst, product analyst and senior data analyst.

Start from this exampleCheck my resume — free

Reviewed by Nazir Elmurodov · Updated

Data analyst reviewing charts on a laptop
Mid-level · 4 years experience

/ The example

Data Analyst resume example. Sample 1 of 6.

Daniel Kim

Data Analyst

Chicago, IL · daniel.kim@email.com · linkedin.com/in/danielkim

Summary

Data analyst with 4 years in retail and subscription businesses. I build the dashboards and analyses that teams use to set prices, plan stock and cut churn.

Experience

Data Analyst, Northfield Retail · Feb 2022 – Present

  • • Built a demand forecast in Python that reduced stockouts by 17% across 120 stores
  • • Replaced 30 weekly spreadsheets with a Tableau dashboard used by 85 managers
  • • Found a pricing gap in regional data that added $1.2M in annual margin
  • • Automated SQL data checks that cut reporting errors by 70%

Junior Data Analyst, Streamly · Aug 2020 – Jan 2022

  • • Built a churn model that flagged at-risk subscribers; retention offers saved 4% of monthly revenue
  • • Wrote 200+ SQL queries for product, finance and marketing requests

Education

B.S. Statistics, University of Illinois Urbana-Champaign, 2020

Skills

SQL · Python (pandas) · Tableau · Power BI · Excel · dbt · A/B testing · Regression · Snowflake · Data visualization

Why it works

Each bullet ends with the business result of the analysis, not just the tool used, and the skills line matches the exact tool names in data analyst job posts.

Use this as your starting point

Opens in the editor with every section filled in. Swap in your own details and download a PDF or Word file free.

Start from this example
See Daniel's cover letterApplying with a cover letter? Same person, annotated.

Sample resume. Names, companies and figures are illustrative.

/ More samples

Sample data analyst resumes. Five more, by level and specialty.

Each is a full resume you can open in the editor. Pick the one closest to where you are now.

  1. Sample 2 of 6Entry level · 1 year

    Entry-level data analyst resume

    Sofia Martinez

    Junior Data Analyst

    Atlanta, GA · sofia.martinez@email.com · linkedin.com/in/sofiamartinez

    Summary

    Junior data analyst with a year of experience and an economics degree. I clean messy data, write SQL and build Power BI reports that people actually open.

    Experience

    Junior Data Analyst, Brightline Credit Union · Sep 2025 – Present

    • • Rebuilt the monthly member growth report in Power BI, replacing a 3-hour manual Excel process
    • • Write SQL queries for the lending and marketing teams, answering about 15 requests a week
    • • Cleaned 80,000 member records, merging duplicate accounts and fixing address formats before a CRM migration

    Data Analytics Intern, Peachtree Logistics Group · May 2025 – Aug 2025

    • • Analyzed 12 months of delivery data in Excel and found 3 routes running late more than 20% of the time
    • • Presented the findings and a pivot-table dashboard to the operations manager, who reassigned 2 routes

    Education & certifications

    B.S. Economics, Georgia State University, 2025 · Google Data Analytics Professional Certificate

    Skills

    SQL · Excel (Power Query, pivot tables) · Power BI · Data cleaning · Python (basic) · Google Sheets · Data visualization · Descriptive statistics · Report automation · Presenting findings

    Why it works

    With little experience, each bullet has to prove one core skill — SQL, cleaning, dashboards, presenting — with a concrete before and after. The certificate fills in tool training without pretending to be more than it is.

    Start from this example (Entry-level data analyst)

  2. Sample 3 of 6Marketing analytics · 5 years

    Marketing analyst resume

    Nina Patel

    Marketing Data Analyst

    Brooklyn, NY · nina.patel@email.com · linkedin.com/in/ninapatel

    Summary

    Marketing analyst with 5 years in direct-to-consumer and agency teams. I measure which channels really drive revenue and help marketers move budget to the ones that pay back.

    Experience

    Marketing Data Analyst, Fernhill Home · Mar 2022 – Present

    • • Built a GA4 and BigQuery pipeline that joins web sessions to orders, giving the team daily ROAS by channel
    • • Ran geo holdout tests showing that branded search was mostly capturing existing demand; moving 15% of that budget to paid social grew new customers 9%
    • • Built Looker Studio dashboards for CAC, payback period and repeat purchase rate used in every weekly marketing meeting
    • • Modeled 12-month customer lifetime value by acquisition cohort to set channel bid targets

    Digital Marketing Analyst, Brightwave Agency · Jul 2021 – Feb 2022

    • • Reported paid search and social results for 8 retail clients across Google Ads and Meta Ads Manager
    • • Automated weekly client reports with Google Sheets and Apps Script, saving about 6 hours a week

    Education & certifications

    B.A. Economics, Rutgers University, 2021 · Google Analytics Certification

    Skills

    GA4 · BigQuery · SQL · Looker Studio · Attribution · Incrementality testing · Cohort analysis · Customer lifetime value · Google Ads · Meta Ads Manager

    Why it works

    Marketing teams hire analysts who can link spend to revenue. The bullets use the metrics marketers use — ROAS, CAC, payback, LTV — and show a test that changed where the budget went.

    Start from this example (Marketing analyst)

  3. Sample 4 of 6Healthcare analytics · 6 years

    Healthcare data analyst resume

    Aisha Johnson

    Healthcare Data Analyst

    Nashville, TN · aisha.johnson@email.com · linkedin.com/in/aishajohnson

    Summary

    Healthcare data analyst with 6 years at a hospital system and a health plan. I turn EHR and claims data into quality and readmission reports that clinical leaders use to change care.

    Experience

    Clinical Data Analyst, Harpeth Valley Health System · Apr 2022 – Present

    • • Write Epic Clarity SQL for quality, nursing and finance teams across 4 hospitals
    • • Built a 30-day readmissions dashboard in Tableau that care managers use to target follow-up calls; heart failure readmissions fell from 21% to 17% in a year
    • • Track sepsis bundle compliance by unit and shift, which the sepsis committee reviews every month
    • • Prepare de-identified datasets for research requests, following HIPAA and the minimum-necessary standard

    Quality Data Analyst, Cumberland Health Plan · Jul 2020 – Mar 2022

    • • Calculated HEDIS measures from claims and lab data for about 120,000 members
    • • Built monthly gap-in-care lists that outreach staff used to schedule screenings and well visits

    Education & certifications

    B.S. Public Health, University of Tennessee, Knoxville, 2020 · Epic Clarity Data Model certification

    Skills

    SQL Server · Epic Clarity · Tableau · HEDIS · Claims data · Readmission analysis · Quality measures · HIPAA · R · Data validation

    Why it works

    Health systems screen for the data sources they use, so Epic Clarity, claims and HEDIS appear in plain words. The bullets tie reports to patient outcomes and show careful handling of protected health data.

    Start from this example (Healthcare data analyst)

  4. Sample 5 of 6Product analytics · 3 years

    Product analyst resume

    Liam O'Connor

    Product Data Analyst

    San Francisco, CA · liam.oconnor@email.com · linkedin.com/in/liamoconnor

    Summary

    Product analyst with 3 years in B2B software. I design experiments, set up event tracking and tell product managers which features keep customers around.

    Experience

    Product Analyst, Tandemly · Jan 2024 – Present

    • • Wrote the event tracking plan for the core app — 140 events — and audited it with engineering each release
    • • Designed and analyzed 22 product experiments, including sample-size planning and guardrail metrics
    • • Found that teams who invited a second user in week one retained at twice the rate; the onboarding change that followed raised 90-day retention 6 points
    • • Built Amplitude funnels and Mode reports that PMs use to review feature adoption every sprint

    Business Analyst, Copperleaf Insurance · Jul 2023 – Dec 2023

    • • Analyzed quote-to-bind drop-off in the online application and flagged 2 form steps for redesign
    • • Wrote Snowflake SQL and Python notebooks for weekly sales and conversion reporting

    Education

    B.S. Cognitive Science, University of California, San Diego, 2023

    Skills

    SQL · Snowflake · Amplitude · Mode · Python · Experiment design · Funnel analysis · Retention analysis · Event tracking · Product metrics

    Why it works

    Product analytics is about behavior and causation. This sample shows experiment design, a tracking plan and an insight that led to a measured product change — what a product team hiring an analyst wants.

    Start from this example (Product analyst)

  5. Sample 6 of 6Senior · 9 years

    Senior data analyst resume

    Rachel Goldberg

    Senior Data Analyst, Analytics Lead

    Minneapolis, MN · rachel.goldberg@email.com · linkedin.com/in/rachelgoldberg

    Summary

    Senior analyst with 9 years in grocery and insurance, now leading a small analytics team. I set metric definitions, build self-serve reporting and coach analysts so the business gets consistent answers.

    Experience

    Senior Data Analyst, Northstar Grocers · Jun 2021 – Present

    • • Lead 3 analysts supporting merchandising, supply chain and finance for 90 stores
    • • Built a dbt and Looker semantic layer with one agreed definition for sales, margin and shrink, ending conflicting numbers in leadership meetings
    • • Grew self-serve Looker users from 40 to 220 and cut ad-hoc requests to the team by about 40%
    • • Built the weekly sales forecast with finance, keeping average error under 4% at the store-week level

    Data Analyst, Lakewood Insurance Group · Aug 2017 – May 2021

    • • Analyzed claims frequency and severity by region to support pricing reviews for auto policies
    • • Moved 25 recurring reports from Access to SQL and Tableau, cutting monthly reporting time by 3 days

    Education

    M.S. Business Analytics, University of Minnesota, 2017

    Skills

    SQL · dbt · Looker · Snowflake · Python · Forecasting · Data modeling · Metric definitions · Team leadership · Stakeholder management

    Why it works

    At the senior level, impact comes from making the whole company's data trustworthy. These bullets show leadership, metric governance and self-serve adoption, with numbers that show how far the work reaches.

    Start from this example (Senior data analyst)

Sample resumes. Names, companies and figures are illustrative.

/ Summary examples

Three summary examples. Pick the one closest to you.

Two or three lines: your level, your field and one result.

  • Entry level

    Statistics graduate with SQL, Python and Tableau experience from two internships. Built a sales dashboard now used weekly by a 12-person team.

  • Mid level

    Data analyst with 4 years in retail. My forecasting and pricing work has cut stockouts by 17% and added $1.2M in annual margin.

  • Senior

    Analytics lead who has built BI functions from scratch at two companies, owning metrics, data quality and experimentation for teams of 200+.

More for other jobs and situations (no experience, career change, senior): resume summary examples.

/ Bullet points

Bullet point examples. From duty to result.

Turn duties into results: what you did, how, and what changed.

  • Dashboards

    Instead of: Made dashboards in Tableau

    Write: Replaced 30 weekly spreadsheets with one Tableau dashboard used by 85 managers

  • Modeling

    Instead of: Built predictive models

    Write: Built a churn model whose retention offers saved 4% of monthly revenue

  • Insight

    Instead of: Analyzed pricing data

    Write: Found a regional pricing gap that added $1.2M in annual margin

  • Data quality

    Instead of: Checked data accuracy

    Write: Automated SQL data checks that cut reporting errors by 70%

/ Keywords

Keywords and skills for data analysts.

These come up often in data analyst job posts. Include only the ones you can back up in an interview, and use the exact wording from the post you're applying to.

  • SQL
  • Python
  • R
  • Excel
  • Tableau
  • Power BI
  • Looker
  • Data visualization
  • Statistical analysis
  • A/B testing
  • ETL
  • dbt
  • Snowflake
  • BigQuery
  • Forecasting
  • Stakeholder reporting

/ ATS tips

ATS tips for data analysts.

  1. Name the BI tool

    Tableau, Power BI and Looker are searched separately — list the ones you've actually used.

  2. Show the decision

    "Analysis led to X" beats "performed analysis". Say what changed because of your work.

  3. Avoid charts on the resume

    Graphs and skill bars can't be read by a parser. Put the numbers in the text.

  4. Link a portfolio carefully

    A GitHub or Tableau Public link is useful, but write it out as plain text.

How does your data analyst resume compare?

Free ATS score, missing keywords and fixes in about 10 seconds.

Check my resume

/ Questions

Data Analyst resume FAQ.

Writing the cover letter too? See Daniel's cover letter, annotated

What skills should a data analyst put on a resume?

SQL first, then the analysis language (Python or R), the BI tool, and statistics or experimentation — matched to what the job post lists.

Should I include personal projects?

Yes if you have under two years of experience. Describe the question, the data and the result in one or two bullets.

Do certifications help?

Tool certifications like Tableau or Google Data Analytics can help at entry level. Experience with results matters more after that.

Keep going

Related examples

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