Data Analyst Resume Keywords & ATS Tips 2026

Optimise your Data Analyst resume for ATS. Get the SQL, Python and BI tool keywords that get interviews. Real rewrite examples included — see exactly what AI optimisation does to your CV.

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Top ATS Keywords for Data Analyst

These are the exact keywords ATS systems and recruiters scan for in Data Analyst resumes. Use the exact phrasing — synonyms often don't match.

SQLPythonTableauPower BIExceldata visualisationA/B testingstatistical analysisETLdashboardKPIsbusiness intelligencedata pipelineregression analysisGoogle AnalyticsLookerBigQuerydata modellingreportingpandasnumpy

3 Tips to Pass ATS as a Data Analyst

The most common reasons Data Analyst resumes fail automated screening — and how to fix them.

1Name the specific BI tools you used — Tableau, Power BI, Looker, Metabase are all distinct ATS keywords
2Show the business impact of your analysis — revenue saved, decisions influenced, efficiency gained
3SQL proficiency is assumed — differentiate by naming advanced techniques: window functions, CTEs, query optimisation

Before & After — Real Rewrite Examples

See exactly how AI rewrites weak bullets into ATS-optimised, impact-driven lines that recruiters respond to.

Reporting bullet
Before
Analyzed data and made reports for the team.
After — AI optimised
Developed automated SQL/Python data pipelines reducing manual reporting time by 60%, and built Tableau dashboards tracking 8 core KPIs for a $12M product line used by 3 senior VPs weekly.
Testing bullet
Before
Ran A/B tests to improve the product.
After — AI optimised
Designed and analysed 15+ A/B experiments using statistical significance testing (95% confidence), directly informing product decisions that improved conversion rate by 18% and generated $2.1M incremental revenue.
SQL bullet
Before
Used SQL to pull data from the database.
After — AI optimised
Wrote complex SQL queries (CTEs, window functions, query optimisation) against a 500GB+ BigQuery warehouse, cutting average report generation time from 4 hours to 12 minutes.

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