What should a data analyst resume example include?

A clear summary, SQL and at least one BI tool in skills and bullets, measurable outcomes, and standard headings. This sample shows that pattern.

How long should a data analyst resume be?

One page for most candidates under ~8 years. Two pages only if every line is relevant and quantified.

Is this an ATS-friendly resume format?

Yes—single column, standard section names, no graphics in the body text. Copy the structure, not necessarily Maya’s employers.

Should I copy these bullets word for word?

No. Use the pattern (tool + business outcome). Interviewers will ask follow-ups on any metric you claim.

SQL or Python—which matters more on a data analyst resume?

Most postings require SQL; Python is increasingly common for analysis. Mirror the job description order.

Do I need a projects section?

Helpful for entry-level and career switchers. Mid-level candidates can fold projects into Experience if space is tight.

How do I tailor this example to one job description?

Paste your draft and the posting into ResumeAtlas to see missing keywords, then rewrite bullets with your real work.

Tableau or Power BI on a data analyst resume?

Use whichever the posting names. If both appear, list both only if you can demo either in an interview.

Data Analyst Resume Example (2026 ATS-Friendly Sample)

Last updated: April 2026

Recruiters spend about six seconds on the first screen of a data analyst resume. They look for SQL and a BI tool named explicitly, bullets that tie analysis to revenue or efficiency, and a layout parsers can read. ATS filters often score keyword overlap before a human opens the file—so the example below is written to pass both machines and a hiring manager skimming for proof.

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Who this data analyst resume example is for

Analysts applying to product analytics, marketing analytics, or operations roles with SQL + dashboard ownership.
Career switchers who have portfolio projects but need stronger business-outcome framing.
Mid-level ICs targeting postings that mention experimentation, stakeholder communication, or self-serve BI.

ATS score breakdown (sample)

This sample would likely clear initial ATS screens for many mid-level data analyst postings because tools appear in both Skills and Experience, and bullets include metrics. A human reviewer would still check for domain fit (B2B SaaS vs healthcare, etc.).

Dimension	Score	Notes
Keyword match	86/100	SQL, Python, Tableau, A/B testing appear in context—not only Skills.
Structure	94/100	Standard headings; single column; no tables/icons.
Impact density	88/100	Most bullets include %, hours saved, or revenue-adjacent outcomes.
Seniority signal	82/100	Reads mid-level; could add scope (teams, ARR) for senior roles.

Scores are illustrative—compare your draft to a real posting with the resume-to-job-description checker.

ATS-friendly data analyst resume example

Fictional candidate for teaching structure only—do not copy employers or metrics you cannot defend in an interview.

Maya Chen
Data Analyst
Chicago, IL · maya.chen@email.com · (312) 555-0142 · linkedin.com/in/mayachen

SUMMARY
Data analyst with 4+ years in B2B SaaS turning product and GTM data into decisions. Owns SQL pipelines, Tableau/Looker dashboards, and experiment readouts for growth and finance partners.

SKILLS
SQL · Python (pandas) · Tableau · Looker · Excel · A/B testing · dbt (basics) · Snowflake · Stakeholder reporting

EXPERIENCE
Data Analyst II | Northline Analytics (B2B SaaS) | Mar 2022 – Present
• Built activation funnel dashboards in Tableau used weekly by product and sales leadership, surfacing drop-off at onboarding step 3 that drove a 14% lift in week-1 activation after two shipped experiments.
• Wrote SQL models in Snowflake (dbt) for self-serve revenue metrics, cutting ad-hoc finance requests by ~9 hours/week.
• Partnered with PMs on A/B tests for pricing page copy; documented guardrail metrics and shipped the variant that increased trial-to-paid conversion by 6% (p<0.05).
• Improved event tracking coverage from 71% to 96% with engineering, reducing blind spots in cohort analyses used for retention campaigns.

Data Analyst | Harbor Retail Group | Jun 2019 – Feb 2022
• Automated weekly store-performance packs in Python + Excel, saving 12 hours of manual compilation across four regions.
• Identified inventory misallocation patterns that informed a pilot reorder policy, reducing stockouts by 11% in test locations.

PROJECTS
Subscription churn post-mortem (internal) · Cross-functional analysis · Q3 2024
• Segmented churn by plan, tenure, and feature adoption using SQL; recommended lifecycle emails adopted by marketing.

EDUCATION
B.S. Statistics, University of Illinois Chicago, 2019

CERTIFICATIONS
Google Data Analytics Certificate, 2021

Downloadable structure: copy the block above into a plain .docx or ATS-safe template—no tables, text boxes, or icons in the body.

Why this data analyst resume works

Keywords are repeated where Maya actually used them: SQL in modeling bullets, Tableau/Looker in dashboard work, A/B testing in experimentation bullet.
Bullets follow action + method + metric, which is what both ATS rankers and analytics managers scan for.
One page is appropriate; second page would only help with 7+ years of highly relevant work.
Projects section supports career switchers; for senior analysts, replace with larger scope bullets (teams led, ARR influenced).

Recruiter review (section by section)

Summary

Strong

Names years, domain (B2B SaaS), tools, and stakeholders—no vague “detail-oriented analyst.”

Skills

Good

Readable list; every major skill appears again in Experience. Trim tools Maya cannot discuss in interviews.

Experience

Strong

Quantified outcomes and cross-functional partners. Could add one bullet on data quality or documentation for senior postings.

Education

Fine

Degree aligns with analytics; certification supports non-traditional paths.

Top keywords included (from real job descriptions)

Mirror the posting you are applying to—use the full list on the data analyst resume keywords page.

Technical skills

SQL
Python
Statistics
A/B testing
Cohort analysis
Data modeling

Tools

Tableau
Looker
Excel
Snowflake
dbt
Google Analytics

Business skills

Stakeholder management
Executive reporting
KPI definition
Experiment design

Common data analyst resume mistakes

Listing every BI tool you have touched once—recruiters will probe the one in the job description.
Bullets that only describe tasks (“created dashboards”) without decisions or metrics.
Two-column Canva layouts that break ATS parsing of skills and employers.
Burying SQL-only work at the bottom while the posting leads with warehouse analytics.
Using data scientist keywords (deep learning) for analyst roles without ML ownership.
Giant skills blocks with no proof in Experience.
Omitting experiment or metric language when the JD mentions growth or product analytics.
Same resume for healthcare and fintech without swapping domain keywords.

How to customize this resume for your level

Level	What to change
Entry-level	Lead with internships and academic projects; keep one strong SQL + dashboard project with metrics. One page.
Mid-level	Use this structure as-is; swap company context and ensure each bullet has a number.
Senior-level	Add scope (teams, revenue influenced, standards you set). Consider a second page only with 8+ years of direct analytics ownership.

FAQ

What should a data analyst resume example include?: A clear summary, SQL and at least one BI tool in skills and bullets, measurable outcomes, and standard headings. This sample shows that pattern.
How long should a data analyst resume be?: One page for most candidates under ~8 years. Two pages only if every line is relevant and quantified.
Is this an ATS-friendly resume format?: Yes—single column, standard section names, no graphics in the body text. Copy the structure, not necessarily Maya’s employers.
Should I copy these bullets word for word?: No. Use the pattern (tool + business outcome). Interviewers will ask follow-ups on any metric you claim.
SQL or Python—which matters more on a data analyst resume?: Most postings require SQL; Python is increasingly common for analysis. Mirror the job description order.
Do I need a projects section?: Helpful for entry-level and career switchers. Mid-level candidates can fold projects into Experience if space is tight.
How do I tailor this example to one job description?: Paste your draft and the posting into ResumeAtlas to see missing keywords, then rewrite bullets with your real work.
Tableau or Power BI on a data analyst resume?: Use whichever the posting names. If both appear, list both only if you can demo either in an interview.

Data Analyst resume resources

Use all three role pages together, then run your draft against a real job description.

Data Analyst resume example (this page)
Full sample, ATS breakdown, recruiter review
Data Analyst resume guide →
Section patterns, bullets, summary & skills
Data Analyst resume keywords →
ATS keyword lists & JD gap scan

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Related keyword guide

Power BI resume keywords

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