Data Analyst Resume Guide 2026
Turn raw data into a compelling story. Learn which technical and analytical skills recruiters scan for, and build a resume that gets past ATS filters.
Key Skills for a Data Analyst Resume
Data analyst roles sit at the intersection of technical ability and business communication. Your resume must show both.
Technical Skills
SQL (Advanced)
Python / R
Excel / Google Sheets
Tableau
Power BI
Looker
Statistical Analysis
A/B Testing
Data Cleaning / ETL
Business & Communication Skills
Data Storytelling
Stakeholder Presentations
KPI Definition
Dashboard Design
Cross-functional Collaboration
Project Management
5 ATS Tips for Data Analysts
- Lead with measurable outcomes: "Analyzed 500K+ customer records to identify $2.3M in cost savings" — numbers prove your value immediately.
- Name your tools explicitly: Write "Built Tableau dashboards tracking 15 KPIs" not "Built data visualizations". ATS scans for tool names.
- Use a separate "Technical Skills" section: List SQL, Python, Tableau, and Excel as a dedicated block. Don't bury them in experience descriptions.
- Show data volume scale: "Processed 10M+ rows" is more impressive than "analyzed data". Scale matters to hiring managers.
- Avoid jargon without context: "Regression analysis" alone means little. "Used logistic regression to predict customer churn with 87% accuracy" tells a story.
Data Analyst Resume Template Example
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Professional Experience
Data Analyst — FinServe Corp (2021–Present)
• Built 12 executive dashboards in Tableau, reducing weekly reporting time by 85% for a 50-person department
• Conducted A/B testing on pricing models, identifying a $1.8M annual revenue opportunity
• Automated ETL pipeline using Python and SQL, saving 15 hours/week of manual data processing
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