Free data analyst resume builder

Key skills for data analysts

Include these skills in your resume to pass ATS filters for data analyst positions:

• ✓SQL (PostgreSQL, MySQL, BigQuery)
• ✓Python (pandas, NumPy, scikit-learn)
• ✓Microsoft Excel / Google Sheets
• ✓Tableau / Power BI / Looker
• ✓Statistical analysis & A/B testing
• ✓Data visualization
• ✓R
• ✓Google Analytics / GA4
• ✓ETL pipelines
• ✓Business intelligence

Resume tips for data analysts

1. 1Quantify everything: 'Analyzed a 2M-row dataset' beats 'Analyzed large datasets'.
2. 2List your tools prominently — SQL and Python are ATS must-haves for analyst roles.
3. 3Include a Projects section with business outcomes, not just technical descriptions.
4. 4Match exact tool names from the job description (Tableau vs Tableau Desktop vs Tableau Server).
5. 5Highlight any domain expertise (finance, marketing, operations) — many analyst roles are domain-specific.

Before you apply, use our free ATS resume scanner to check your resume against the job description and find missing keywords — completely free, no account required.

Browse our free ATS-friendly resume templates — all free to download as PDF, no sign up required.

Frequently asked questions

What skills should a data analyst put on their resume?

Core technical skills: SQL, Python or R, Excel, and a BI tool (Tableau, Power BI, or Looker). Also include statistical methods you use (regression, A/B testing, cohort analysis), any domain expertise, and soft skills like stakeholder communication.

Should I include my GPA on a data analyst resume?

Include GPA if it is above 3.5 and you graduated within the past 3 years. For experienced analysts, GPA is rarely relevant and can be omitted.

How do I show data projects on my resume?

Create a Projects section with 2–3 entries. For each project: tool used, dataset size, method applied, and measurable outcome. Link to your GitHub or Kaggle profile if you have public notebooks.