Data analyst resume keywords

We counted the skills in 159 open data analyst job postings from 90 employers, including DRW, Okta and HelloFresh. The ones employers ask for most are analytics (62% of postings), SQL (60%) and dashboards (52%). 60% 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 62%
2SQL 60%
3dashboards 52%
4data analysis 38%
5Python 31%
6business intelligence 26%
7data quality 23%
8automation 20%
9marketing 19%
10A/B testing 18%
11data engineering 17%
12data pipelines 16%
13statistics 16%
14product roadmap 16%
15Looker 15%
16Tableau 13%
17machine learning 13%
18dbt 11%
19data visualization 11%
20onboarding 11%
21KPIs 11%
22product analytics 10%
23accounting 9%
24audit 9%
25forecasting 8%
26sales 8%
27manufacturing 8%
28data modeling 8%
29trading 8%
30ETL 7%

Share of the 159 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 159 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 October 28, 2026.