Skills employers ask for most
The most-requested skills in data analyst job postings, per published hiring research. Put the ones you have in a dedicated Skills section and prove the top few in your bullets.
- SQL53%
- Microsoft Excel41%
- Python31%
- Power BI29%
- Problem solving29%
- Tableau26%
- R25%
- Machine learning14%
- Presentation skills14%
Source: 365 Data Science, Data Analyst Job Outlook (2026) — share of analyzed US data-analyst job postings requesting each skill.
Example data analyst résumé
Resunova score 89/100Data analyst with four years of experience turning ambiguous business questions into clear, quantified recommendations using SQL, dashboards, and statistical analysis. Builds self-serve reporting that replaces manual pulls, and partners directly with finance, merchandising, and operations leaders to size opportunities and measure impact after launch. Surfaced a promotional pricing inefficiency worth $1.2M in annual margin through margin decomposition. Now owns executive reporting for 12 business units and the shared metric dictionary behind it.
A complete, scored data analyst / analytics specialist résumé (fictional candidate) built with Resunova. Notice every bullet leads with a strong verb and ends in a measurable outcome — that pattern is what earns the score above. Score your own résumé free →
Salary & where these roles work
From 203 analyzed data analyst postings. Figures vary by location and seniority.
Data Analyst resume FAQ
What skills should a data analyst resume highlight?
SQL is the single most-requested skill, appearing in 53% of analyst postings (365 Data Science, 2026). Pair it with Excel (41%), Python (31%), and a visualization tool (Power BI 29%, Tableau 26%), and quantify the decisions your analysis drove.
Should a data analyst resume include a portfolio?
Yes. A link to dashboards, a GitHub with SQL or Python notebooks, or a written end-to-end analysis sets you apart from keyword-only résumés.
How do I quantify data analyst impact on a resume?
Tie each analysis to a business outcome (revenue found, hours saved, churn reduced, decisions accelerated) rather than writing 'analyzed data using SQL.'
Build your data analyst résumé
Opens the example above in the résumé builder with your own name and contact details left blank. Replace the sample experience with yours, pick a template, and download an ATS-clean PDF. Free, no signup.