The keywords that matter for Data Analyst roles
These are the skills + tools modern Data Analyst job descriptions weight most heavily. List them in your resume only if you can defend them in an interview — ATS scoring increasingly penalizes thin claims.
Match the JD’s exact spelling — PostgreSQL ≠ Postgres in some ATS scoring models.
Three pitfalls that quietly tank Data Analyst resumes
- 1
Bullets list dashboards built — recruiters want the decisions those dashboards drove.
- 2
No SQL evidence (window functions, CTEs, complex joins) — table-stakes for analyst JDs.
- 3
Skipping the stakeholder partner — "partnered with the marketing team" outranks "built dashboard."
The ideal Data Analyst bullet
The structure
Analyzed X for stakeholder Y, delivering insight Z that drove decision/outcome W
A real example
“Analyzed funnel attribution across 6 paid channels, surfacing that 38% of attributed conversions were double-counted, leading to a $480k/quarter media reallocation.”
Use this structure for 4–6 bullets per role. Anything more dilutes signal; anything less under-sells the scope you owned.
FAQ
Common questions about Data Analyst resumes
What ATS keywords matter most for a Data Analyst resume?
For Data Analyst roles, the most-weighted keywords are: SQL, Python, Tableau, Looker, Excel, Data visualization. Always match the exact spelling used in the job description — ATS scoring deduplicates near-matches but rewards verbatim overlap.
What's the biggest mistake on most Data Analyst resumes?
Bullets list dashboards built — recruiters want the decisions those dashboards drove.
What bullet structure should a Data Analyst use?
Analyzed X for stakeholder Y, delivering insight Z that drove decision/outcome W. Example: "Analyzed funnel attribution across 6 paid channels, surfacing that 38% of attributed conversions were double-counted, leading to a $480k/quarter media reallocation."
How do I check if my resume passes for this role?
Run a free ATS analysis on ResumeFit AI — paste a real Data Analyst job description and your resume; you'll get a calibrated 0–100 score, the exact missing keywords, and paste-ready rewrites in under 15 seconds. No signup required.
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