Data Analyst Resume Keywords
These are the skills that recent data analyst job postings list most often. We counted them across 398 postings from 318 employers, posted between September 29, 2026 and November 12, 2026.
Top 20 skills in data analyst job postings
- 163% of postings45% as required
SQL
- 240% of postings28% as required
Python
- 332% of postings21% as required
Tableau
- 430% of postings19% as required
Power BI
- 530% of postings28% as required
Data analysis
- 624% of postings21% as required
Data visualization
- 721% of postings17% as required
Excel
- 815% of postings13% as required
R
- 910% of postings8% as required
Looker
- 1010% of postings10% as required
Data modeling
- 119% of postings7% as required
Snowflake
- 129% of postings7% as required
Data governance
- 139% of postings8% as required
dbt
- 148% of postings4% as required
Microsoft Office
- 157% of postings7% as required
Statistical analysis
- 167% of postings7% as required
Business intelligence
- 176% of postings6% as required
Reporting
- 186% of postings5% as required
Databricks
- 196% of postings5% as required
Data quality
- 205% of postings4% as required
Data management
Source: public postings from employer career sites collected by LetMeApply. Skills are read from each posting with AI and merged across spellings (for example, AWS and Amazon Web Services). Each employer counts at most 3 times, so one company hiring in bulk does not skew the list.
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How to use this list
- Treat it as a map of the market, not a checklist. Tailor to the posting you are applying to.
- For each skill you really have, make sure it is written on your resume, in the posting's wording, where you used it.
- Leave out skills you do not have. Listing them can cost you in the interview.
For examples of how to write these into bullet points, read Data analyst resume keywords, with worked examples.