Data & Analytics

Data Analyst Resume Example

A strong data analyst resume leads with concrete, quantified achievements — not a list of responsibilities. Below is what an ATS-friendly version looks like: typical background, the skills recruiters actually screen for, and sample bullets you can use as a starting point for your own.

Typical background

Employers commonly look for a qualification in a quantitative field, economics, statistics, or equivalent experience. A strong work record or project portfolio can also demonstrate the same capabilities — what matters most is clear evidence you can do the work.

Key skills to highlight

Common tools

Sample achievement bullets

These are examples to show the pattern — a strong action verb, a concrete scope, and a quantified result. Don't copy them verbatim; use your own real numbers, or leave a metric out entirely rather than inventing one.

• Built a dashboard tracking 15 KPIs, adopted by 3 department heads for weekly reviews
• Cleaned and analyzed a 500K-row dataset to identify a 12% drop-off in a signup funnel
• Automated a weekly reporting process, saving 4 hours of manual work per week

Formatting checklist for this resume

• Use one page for a concise profile or two when substantial relevant experience needs the space
• Lead with the section that best proves your fit: usually Experience, Projects, or Education
• Group skills like "SQL" and "Data visualization" under clear categories, not one long comma-separated line
• Export as real, selectable-text PDF — never a screenshot or image export