Resume Keywords for Data Analysts (2026 Guide)
The 60+ keywords ATS looks for on data analyst resumes — SQL, Python, Tableau, BI tools, and the soft-skill phrases that move your match score the most.
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Data analyst JDs are among the most keyword-driven of any role family. The stack is specific, the methodology is shared across the industry, and the ATS scoring is mechanical. Below are the 60+ keywords that appear on 80%+ of data analyst JDs in 2026 — grouped by category and seniority.
Core keywords (any data analyst role)
- Languages: SQL, Python, R
- BI tools: Tableau, Power BI, Looker, Metabase, Mode
- Data manipulation: pandas, NumPy, dplyr
- Databases: PostgreSQL, MySQL, BigQuery, Snowflake, Redshift, Databricks
- Spreadsheets: Excel, Google Sheets (pivot tables, VLOOKUP, INDEX/MATCH)
Methodology keywords
- A/B testing, experimentation, statistical significance, p-value
- Cohort analysis, funnel analysis, retention analysis, churn
- Regression (linear, logistic), correlation, hypothesis testing
- Descriptive statistics, segmentation, clustering
- ETL, data modeling, dbt transformations, star schema
Business / domain keywords
- KPIs, OKRs, North Star metric, DAU, MAU, ARR, MRR
- Activation, retention, conversion, engagement, LTV, CAC
- Executive reporting, stakeholder management, data storytelling
Junior / entry-level emphasis
Junior JDs over-index on SQL + Excel + one BI tool. Include all three. Include at least one coursework project or personal project with specific data tools. Don't stuff methodology keywords you haven't used — stick to what you actually know.
Mid-level (2-5 years) emphasis
Add Python, experimentation, cohort analysis, stakeholder examples with named execs. Surface at least 3 bullets with specific tools + specific outcomes + metrics.
Senior / analytics engineer emphasis
Add dbt, Snowflake/BigQuery, ETL ownership, data modeling, mentoring, cross-functional partnership. Senior JDs want to see "led" + "owned" verbs with multi-quarter scope.
Example bullet using these keywords
Bad:
Analyzed data and built dashboards for business stakeholders.
Good:
Built self-serve activation analytics (SQL on Snowflake → dbt → Tableau) used weekly by 40+ PMs and eng leads; cut ad-hoc SQL requests 60% and unblocked quarterly OKR reviews.
The rewrite hits 7 keywords (SQL, Snowflake, dbt, Tableau, activation, OKR, ad-hoc requests) with a specific metric (60%) and a scope anchor (40+ users).
Run the check
Paste your current resume and a real data analyst JD into the ATS resume checker. The missing-keywords list usually surfaces 8-12 priority terms. Rewrite 3 bullets to include the top 8 and your score typically moves from the mid-50s to the mid-80s.
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