Data Analyst Resume Skills: 90+ skills for your resume
The data analytics skills hiring managers and ATS actually scan for in 2026 — SQL, Excel, Python, and the BI tools that turn raw data into decisions. Organized by category and experience level, with real examples of how to phrase them. Explore the list, or generate a set tailored to you.
What skills should a data analyst put on a resume?
Lead with the technical core every analytics team expects — SQL, Excel, and a BI tool like Tableau or Power BI — then add the analysis depth that separates you: statistics, data cleaning, and increasingly Python or R. Round it out with the business skills that turn numbers into decisions: KPI reporting, data storytelling, and stakeholder communication. Tailor the exact mix to the job you're targeting.
The 10 essentials, in orderEssential data analyst skills
Tap any skill to select it, copy one, or grab a whole category — then paste straight into your resume.
SQL & Databases
The single most-scanned data analyst skill. List the dialects and the query techniques you actually use — “SQL (window functions, CTEs)” signals more than “SQL” alone.
Excel & Spreadsheets
Still the everyday tool of the trade. Show depth beyond basic formulas — pivot tables and lookups are what recruiters look for.
Data Visualization & BI
Pick the BI platforms you've built real dashboards in — depth in one beats a shallow list of five.
Programming & Scripting
Increasingly expected even for “non-technical” analyst roles. List the libraries you use, not just the language.
Statistics & Analysis
The reasoning behind the charts. Even a few of these signal you understand the “why”, not just the “what”.
Data Preparation & ETL
Analysts spend most of their time here — showing you can wrangle messy data is a strong signal.
Analytics & Reporting
The business-facing side of the role — the outcomes an analyst is hired to deliver.
Cloud & Big Data
Where modern analytics data lives. List the warehouses and platforms you've actually queried.
Soft Skills
Choose 3–5 you can demonstrate through real work examples — an analyst who can't communicate findings gets ignored.
Generate data analyst skills with AI
Pick a focus and your level — we'll suggest a tailored, ATS-ready skill set you can select from and copy straight into your resume.
Data Analyst skills by experience level
As you grow, the emphasis shifts from building features to owning systems and people. Here's what belongs on your resume at each stage.
Entry Level
Mid-Level
Senior
Where to put data analyst skills on your resume
Skills shouldn't live in one list at the bottom. Strong resumes weave them through three places — here's each, with a real example.
Make your skills more specific
A bare keyword tells a recruiter nothing. A specific one shows depth — and matches more of the phrases an ATS looks for.
Match your skills to the job description
ATS rank you partly on how well your resume echoes the posting. Mirror the skills a job names — in your own true words — and prioritize them near the top.
"Seeking a data analyst proficient in SQL, Excel, Tableau or Power BI, with experience in statistical analysis and stakeholder reporting."
Common resume skills mistakes
Skills you usually don't need to list
For modern data analyst roles these are assumed — including them dilutes your stronger skills. Leave them off unless a specific posting explicitly asks.
Explore skills for similar roles
Frequently asked questions
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