Resume Example · 2026
Data Analyst Resume Example (2026)
Strong analyst resumes show you turn data into decisions. Every bullet should end with what the business did differently because of your analysis. SQL is table stakes; the differentiator is product / domain fluency + the ability to frame the right question, not just answer the one you were given.
Score your data analyst resume in 60 seconds.
Upload yours + paste a JD → match score, missing keywords, bullet rewrites.
What hiring managers screen for
Specific business decisions tied to your analyses.
SQL + 1-2 of (Python, R, Looker, Tableau, dbt).
Statistical literacy beyond means -- distributions, CIs, effect sizes.
A real domain (ecom, fintech, SaaS, healthcare) that matches the role.
Examples of pushing back on bad questions, not just answering all of them.
Data Analyst resume example
An illustrative example to model yours on — swap in your own details, then run it through the analyzer to pressure-test it against a real job description.
Noah Patel
Data Analyst
Chicago, IL · you@email.com · linkedin.com/in/your-handle
Summary
Data analyst who turns ambiguous questions into decisions. SQL-deep, fluent in dbt + BI, and willing to push back on the wrong ask.
Experience
Senior Data Analyst · Harbor Commerce
2021 – Present
- Built the exec retention dashboard that triggered a $1.1M lifecycle investment, lifting 90-day retention 3.4pp.
- Ran the Pro-plan price test (n=84k); recommended +$3/mo for +12% LTV, worth +$640k ARR/yr.
Data Analyst · Finch
2019 – 2021
- Migrated 38 reports to dbt + Looker, saving ~11 analyst-hours/week and fixing 4 long-standing inconsistencies.
- Reframed a "signups are down" ask into a cohort breakdown that found a broken tag; recovered $90k in trials.
Skills
SQL (advanced -- window fns, CTEs, query optimisation) · Python or R for analysis · BI: Looker, Tableau, Metabase, Mode · dbt, Snowflake / BigQuery / Redshift · Experimentation, statistics, dashboard design
Education
B.S. Economics — University of Illinois Urbana-Champaign, 2019
Sample bullets you can adapt
Copy any of these as a starting point. Then run the result through the analyzer with your target JD to tighten the keyword + magnitude fit.
Built the executive retention dashboard now reviewed weekly by the C-suite; surfaced a cohort drift that prompted a $1.1M lifecycle-marketing investment, which lifted 90-day retention 3.4pp.
Ran the price-test analysis for the Pro plan (2-cell A/B, n=84k); recommended +$3/mo despite a 1.1pp conversion drop because LTV rose 12% -- decision shipped, ARR +$640k/yr.
Migrated 38 reports from spreadsheets to dbt + Looker; saved an estimated 11 analyst-hours/week and eliminated 4 long-standing data inconsistencies.
Reframed a "why is signup down?" ask into a cohort + channel breakdown that identified a broken Google Tag deployment; fixed within 48 hrs, $90k in lost trials recovered.
Co-led the org-wide SQL training programme (8-week cohort, 22 PMs); 6-month retention of skills measured at 78%.
Recommended skills section
See how your resume scores against a real JD
Paste the data analysts job ad → upload your resume → get a 0–100 match score, missing keywords, and AI bullet rewrites.
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Data Analyst resume FAQ
What should a Data Analyst resume include?
A Data Analyst resume should open with a 2–3 line professional summary, then a reverse-chronological experience section where every bullet ties an action to a measurable outcome, followed by a focused skills section and education or certifications. For data analysts, hiring managers screen hardest for quantified impact and relevance to the target role, so tailor the top third of page one to the job description.
How long should a Data Analyst resume be?
One page if you have under about 10 years of experience, and two pages at most for senior data analysts. Recruiters spend roughly 6–8 seconds on the first pass, so your strongest, most quantified bullets belong in the top third of page one.
What skills should I put on a Data Analyst resume?
List the skills that appear in your target job description and that you can back up with a bullet. Common Data Analyst skills include SQL (advanced -- window fns, CTEs, query optimisation); Python or R for analysis; BI: Looker, Tableau, Metabase, Mode. Avoid padding the section with tools you have only touched once — depth beats a long list.
How do I make a Data Analyst resume ATS-friendly?
Use a single-column layout, standard section headings (Experience, Skills, Education), a common font, and keep text out of images, tables, and headers or footers. Mirror the exact keywords from the job description wherever they are genuinely true for you. You can score a Data Analyst resume against a specific job description with the ResuAI analyzer in about 60 seconds to see your match score and missing keywords.
What makes a strong Data Analyst resume bullet?
Strong bullets follow an action-verb → what you did → measurable result structure. Compare “responsible for sales” with “closed $2.4M in new ARR at 142% of quota across 9 enterprise logos” — the second wins because it is specific and quantified. Use the sample bullets above as starting points you can adapt for data analysts.