Data · Resume guide
Data analyst resumes are ranked on SQL depth, a named BI tool, and decision impact — postings reward 'analysis that changed a decision' framing far more than tool lists, because every applicant lists Excel and SQL.
These terms appear repeatedly in real data analyst job descriptions. Use the exact forms below where your experience honestly supports them — exact matches rank; paraphrases often don't.
Share of 49 live data analyst postings in our 15 August 2026 snapshot . Front-load the ones your target job description actually names.
| Skill | Share of postings |
|---|---|
| SQL | 78% |
| Python | 45% |
| Tableau | 45% |
| Looker | 41% |
| dbt | 31% |
| Machine Learning | 25% |
| Snowflake | 20% |
| BigQuery | 20% |
| Power BI | 18% |
| LLM | 14% |
| Airflow | 14% |
| Data Warehousing | 12% |
Public ATS boards (Arbeitnow, Greenhouse, Ashby, Google Careers, Lever, RemoteOK, Remotive). Not LinkedIn or Indeed. Snapshot, not a forecast — always mirror the posting in front of you.
Strong data analyst bullets pair the role's vocabulary with a measured outcome. Use these as patterns — with your real numbers, never invented ones.
“Built the Tableau retention dashboard used weekly by 3 product teams; cohort analysis it surfaced drove a pricing change that lifted ARPU 9%”
“Automated monthly executive reporting with SQL + Python, cutting preparation from 3 days to 2 hours with zero manual errors”
Paste the data analyst job description you're targeting and extract its required skills and repeated phrases.
Rephrase your real experience with the posting's exact terminology — same work, their words.
Reorder your summary, skills, and top bullets so this role's priorities lead.
Verify: check your match score and remaining keyword gaps before submitting.
Attach every tool to a decision it informed: 'built dashboard → team acted → outcome'. SQL should appear with evidence of complexity (window functions, multi-source joins) since 'knows SQL' no longer differentiates at the screening stage.
The highest-weight terms for data analyst postings currently include: SQL, Python, Tableau, Looker, dbt, Machine Learning. The definitive list is always the specific job description — paste it into a free keyword check to see exactly which terms your resume shows and which it's missing.
Extract the job description's required skills and repeated phrases, then rephrase your real experience using those exact terms — lead your summary and top bullets with what that posting emphasizes. Never add skills you don't have; keep genuine gaps visible and address them honestly.
Upload your resume, paste the job description, and get your free ATS match score with every missing keyword — then a tailored, ATS-safe rewrite without fabrication.