Data analyst resume keywords

We counted the skills in 144 open data analyst job postings from 78 employers, including Okta, DRW and HelloFresh. The ones employers ask for most are analytics (63% of postings), SQL (56%) and dashboards (53%). 58% of the postings mention AI, though often in the company's description rather than as a skill the job needs.

Top skills and tools in data analyst postings

#KeywordShare of postings
1analytics 63%
2SQL 56%
3dashboards 53%
4data analysis 40%
5Python 34%
6business intelligence 28%
7automation 22%
8data quality 22%
9data engineering 18%
10statistics 17%
11marketing 16%
12A/B testing 16%
13product roadmap 16%
14data pipelines 15%
15Tableau 14%
16data visualization 13%
17machine learning 12%
18Looker 12%
19dbt 11%
20sales 11%
21KPIs 10%
22accounting 10%
23onboarding 10%
24data modeling 8%
25ETL 8%
26manufacturing 8%
27audit 8%
28forecasting 8%
29Excel 8%
30process improvement 7%

Share of the 144 postings whose description names the skill (plurals and common spellings, such as “JS” and “JavaScript”, count as one).

Soft skills employers mention

reporting · 21%analytical skills · 13%leadership · 11%

Show these through results in your bullets (“led a team of six”) rather than listing them as adjectives.

How to use these keywords on your data analyst resume

  1. Start with the posting, not this list. These are averages across 144 jobs; the one you're applying for has its own priorities. Use this page to spot common gaps, then match the specific posting.
  2. Name skills the way employers do. If you use “analytics”, “SQL” and “dashboards”, write those exact words. Applicant tracking systems and recruiters search for them, and a close synonym can be missed.
  3. Put each skill in a bullet that shows a result. Naming data analysis inside a bullet about what you achieved with it, with a number where you can, is stronger than listing it alone in a skills section.
  4. Add only what's true. If you've worked with “data analysis”, “Python” and “business intelligence” but your resume doesn't say so, add it. If you haven't, leave it out: interviews expose padded resumes quickly.

How these numbers are calculated

Every figure comes from open data analyst job postings on MANY Hired, imported from employers' own career pages. For each posting we pick out the skills, tools, certifications and qualifications its description names, then count how many postings ask for each one. A job counts as data analyst by its title. Updated November 8, 2026.