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Data analyst resumes · Word & Google Docs

Free Data Analyst Resume Templates

Free, ATS-friendly data analyst resume templates in Microsoft Word and Google Docs. Data roles get screened twice — an ATS parser matching exact tool names, then a 6-second recruiter scan for a recognizable stack and quantified results. These lead with KPI tiles and a category-organized tech stack (SQL, Python, Tableau, Power BI, dbt, Snowflake, BigQuery, Looker) instead of a keyword wall. Whether you're writing an entry-level or no-experience data analyst resume, or you're a BI/analytics engineer, product analyst, or senior lead, pick a layout and color, then drop in your numbers.

The templates

Four data-analyst designs, each in three colors.

Insight for general and business data analysts, Pipeline for BI and analytics engineers, Experiment for product and marketing analysts, and Lead for senior and lead roles. Every one opens in Word or Google Docs, stays on one page, and is built to be ATS-friendly — with a categorized SQL/Python/Tableau stack near the top.

Insight — Indigo preview
WordGoogle Docs
Insight — Indigo
Business / general data analyst layout — KPI tiles (decisions influenced, dashboards built, hours saved) over a category-organized SQL · Python · Tableau tech stack.
Insight — Teal preview
WordGoogle Docs
Insight — Teal
The general data-analyst design in teal — a metrics-forward header and grouped stack for SQL, dashboarding, and business-facing analytics roles.
Insight — Plum preview
WordGoogle Docs
Insight — Plum
The Insight layout in plum — clean KPI tiles and a readable, ATS-parsable stack; a strong first-resume pick for entry-level and self-taught analysts.
Pipeline — GitHub Dark preview
WordGoogle Docs
Pipeline — GitHub Dark
BI / analytics-engineer layout — a dark, IDE-style sidebar with a chip-tag tech matrix (dbt, Snowflake, Airflow) and a metrics row (models owned, query cost, uptime).
Pipeline — Navy preview
WordGoogle Docs
Pipeline — Navy
The analytics-engineer design in navy — a categorized stack matrix for dbt/Snowflake/BigQuery and a self-serve-BI story for data and BI engineers.
Pipeline — Slate preview
WordGoogle Docs
Pipeline — Slate
The Pipeline layout in slate — a technical sidebar for data engineers and BI developers who lead with the modern data stack and pipeline ownership.
Experiment — Purple preview
WordGoogle Docs
Experiment — Purple
Product / marketing-analyst layout — KPI tiles (A/B tests, activation lift, CAC) and an experiment-log timeline, with an Amplitude/GA4/Looker stack.
Experiment — Rose preview
WordGoogle Docs
Experiment — Rose
The product-analyst design in rose — experimentation, funnel, and attribution framing for growth, product, and marketing analytics roles.
Experiment — Blue preview
WordGoogle Docs
Experiment — Blue
The Experiment layout in blue — an A/B-test-forward format for product and marketing analysts who lead with activation, retention, and revenue impact.
Lead — Teal preview
WordGoogle Docs
Lead — Teal
Senior / lead data-analyst layout — a dark impact band (impact driven, analysts led, years) over a 2×2 analytics portfolio. For leads and analytics managers.
Lead — Navy preview
WordGoogle Docs
Lead — Navy
The lead-analyst design in navy — an impact-band header and portfolio grid for senior data analysts, analytics managers, and team leads.
Lead — Plum preview
WordGoogle Docs
Lead — Plum
The senior-analyst layout in plum — a leadership-forward format that pairs quantified impact with an analytics-portfolio grid and team-building bullets.
What to include

What goes on a data analyst resume.

A data analyst resume is screened by an ATS parser first and a busy recruiter second. Put the things both look for where they’ll be seen — which is exactly what these templates do:

  • A categorized tech stack, up top. SQL, Python, R · Tableau, Power BI, Looker · Snowflake, BigQuery, dbt, Git — grouped by Languages / Visualization / Platforms, spelled exactly. A recognizable stack near the top wins the 6-second scan.
  • Quantified, decision-linked results. Dashboards built, hours of reporting automated, the decision or revenue your analysis influenced, a metric you moved (churn, conversion, CAC). Tie each analysis to an outcome.
  • Projects (especially with no experience). 2–3 portfolio projects on real datasets — the SQL, the dashboard, the finding — with a GitHub and Tableau Public link in your header. This is how a first data analyst resume gets callbacks.
  • Certifications that carry weight. Google Data Analytics Professional Certificate, Tableau Desktop Specialist, dbt or SnowPro — in their own line. They matter most for entry-level and career-changers.

Data analyst vs. business analyst: data analysis is tools-and-numbers first — SQL, dashboards, and the result of an analysis. If your day is requirements, stakeholder process, and documentation instead, our business analyst templates are the better fit.

Make it yours

Fill it in and apply.

  1. Click Open in Google Docs to copy it into your Drive, or Download Word for the .docx.
  2. Put a GitHub and Tableau Public (or dashboard) link in your header, and your real numbers into the KPI tiles — dashboards built, hours saved, metric moved.
  3. Edit the categorized stack to match the posting exactly — SQL, Python, Tableau, Power BI, Snowflake, dbt — and keep the groupings so it parses cleanly.
  4. No experience yet? Swap a job block for a Projects section, then export a PDF to send and a Word copy for ATS portals.
Common questions

Data analyst resume FAQ

What should a data analyst resume include to pass an ATS?
Use a clean, single-column, ATS-friendly layout (no skills trapped in a graphic) and mirror the posting's exact tool names — spell them precisely (SQL, Python, R, Tableau, Power BI, Looker, Snowflake, BigQuery, dbt, Excel). ATS parsers match on exact strings, so "SQL" and "Tableau" need to appear as written. Group the stack by category (Languages, Visualization, Platforms) so a recruiter's 6-second scan finds a recognizable toolset near the top.
How do I write a data analyst resume with no experience?
Lead with a projects-and-skills resume, not a work-history one. Build 2–3 portfolio projects on real public datasets — write the SQL, build a Tableau/Power BI dashboard, publish the notebook to GitHub — and put them in a Projects section with the tools used and the finding. Pull analytical content from coursework, a bootcamp or the Google Data Analytics certificate, and any job where you used Excel or SQL. The Insight design works well for a first, project-led data analyst resume.
How is a data analyst resume different from a business analyst resume?
A data analyst resume is tools-and-numbers first: SQL, Python, dashboards, and the quantified result of an analysis. A business analyst resume leans on requirements gathering, stakeholder process, user stories, and documentation. If you spend your day in SQL and a BI tool finding insights, use these data-analyst templates; if you spend it eliciting requirements and managing process, our business-analyst templates fit better.
How do I quantify achievements on a data analyst resume?
Tie the analysis to a decision or a dollar. Cite dashboards built, hours of manual reporting automated away, the decision or revenue your analysis influenced, a metric you moved (churn, conversion, CAC), query cost cut, or data-quality incidents reduced. "Automated weekly reporting in Python, saving the team 15 hours a week" and "SQL analysis informed $2.1M in pricing decisions" both beat "responsible for reporting."
Which template fits BI / analytics engineer vs. product vs. senior roles?
General or business data analyst → the Insight design (KPI tiles + categorized stack). BI developer or analytics engineer (dbt, Snowflake, pipelines) → the Pipeline design with the dark technical sidebar. Product, growth, or marketing analyst (A/B testing, funnels, attribution) → the Experiment design with the experiment log. Senior, lead, or analytics-manager roles → the Lead design with the impact band and analytics portfolio.
Should I list SQL, Python, and certifications — and where?
Yes. Put a categorized technical-skills block high on the page (these templates do), spelled exactly: Languages (SQL, Python, R), Visualization (Tableau, Power BI, Looker), Platforms (Snowflake, BigQuery, dbt, Git). List certifications like the Google Data Analytics Professional Certificate or Tableau Desktop Specialist in their own line — they carry real weight for entry-level and career-changer analysts.
Do I need a portfolio link on my data analyst resume?
It helps a lot, especially with little formal experience. Add a GitHub link (notebooks, SQL) and a Tableau Public or dashboard link in your header, next to your email. A recruiter who can click straight to a clean dashboard or a well-commented query is far more likely to call — the header in every one of these templates has room for those links.

Data analyst resume templates · Updated June 2026

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