ATS ATSHack

Resume Example · Updated May 2026

Data analyst resume that gets through every "SQL + dashboard" filter.

A data analyst resume is scanned for the literal stack — SQL, Python, Tableau, Power BI, Looker — and for measurable business impact. Workday and Greenhouse parsers grab tool names from the Skills block. Recruiters scan bullets for percentages and dollar amounts. If your resume has the tools but no quantified outcome, it gets a low score even with a perfect skills match.

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Top ATS keywords for data analyst roles

The literal strings ATS parsers and recruiter Boolean searches scan for. Lift the ones that honestly apply to you into a Skills block at the top of your resume.

SQLPythonRTableauPower BILookerExcelpandasETLdashboardsA/B testingSnowflakeBigQuerydata visualizationstakeholder reporting

Tools, frameworks, and certifications

Languages: SQL (every dialect), Python (pandas, NumPy, scikit-learn), R. BI: Tableau, Power BI, Looker, Mode, Metabase, Hex. Warehouses: Snowflake, BigQuery, Redshift, Databricks. Spreadsheets: Excel, Google Sheets (advanced — VLOOKUP, pivot tables, Apps Script).

Sample bullet templates

Use these as a structural template — verb, scope, outcome. Replace the specifics with your own (verifiable) numbers. ATSHack will not pad these for you; the numbers you put in are the numbers that ship.

  • Wrote 200+ production SQL queries against a 4TB Snowflake warehouse; reduced finance team's manual reporting time by 18 hours per week.
  • Built a Tableau dashboard tracking customer churn across 12 cohorts; identified a 6-point retention lift opportunity that drove a $1.4M ARR change.
  • Owned the A/B test pipeline for the marketing team; ran 36 tests in 12 months with 22% statistically-significant winners shipped to production.
  • Migrated 9 legacy Excel reports to Power BI with row-level security, replacing weekly email decks with self-serve dashboards used by 80+ stakeholders.

Common ATS pitfalls for data analyst resumes

Data analyst resumes typically over-list tools and under-quantify impact. Listing 14 BI tools in a Skills section is fine; what's missing is the business number — "reduced churn by 6 points," "saved finance 18 hours/week," "drove $1.4M ARR change." The numbers don't have to be huge, but they have to exist.

FAQ

No. "SQL (Snowflake, Postgres, BigQuery)" is enough. Listing "PL/SQL, T-SQL, ANSI SQL, BigQuery SQL" looks like padding.
SQL. Every data analyst job description requires SQL; Python is increasingly common but still optional at non-tech companies. Lead with SQL on your skills line, mention Python second.
Helpful for entry-level. Tableau Public or a personal Hex/Looker portfolio with 3–5 cleanly-built dashboards beats a list of bullet points. Senior analysts skip the portfolio and lean on company impact.
Yes. We preserve SQL function names, Python library names, and BI tool names verbatim — they're load-bearing for the keyword match.

Related guides

What is an ATS? · Resume + ATS glossary · How to pass ATS screening · Keywords that get interviews

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