Mid-Level Data Analyst Resume Template (2026) — ATS-Friendly Example

Why this Data Analyst resume works in 2026

Recruiters spend an average of 6.3 seconds on a first scan. This template puts the most important parts of your data analyst story — measurable wins (conversion rate, MRR), relevant tech, and a clear arc — inside that scan window.

Section-by-section breakdown

1. Professional Summary (3–4 lines)

Open with your years of experience as a Data Analyst, your strongest specialty, one quantified win, and your target role. Skip "results-driven team player" — write a real headline.

2. Core Skills (8 keywords)

Mirror the exact keywords from the data analyst job descriptions you're targeting. ATS systems do exact-match keyword scoring — synonyms don't always pass.

3. Experience (most recent first)

• Use parallel structure across bullets — same tense, same shape — it scans faster.
• Mirror the exact keywords from 3 target job descriptions; ATS scoring is closer to exact-match than synonym-match.
• Shipped a new system end-to-end (scoping, build, launch) and quantify its first 90 days.
• Limit to 4–6 bullets per role; cut anything older than 10 years unless it's a brand-name win.

4. Projects, Certifications & Education

For mid-level candidates, projects with live links and metrics often beat a one-line internship. List certifications in their own block so ATS can pick them up cleanly.

ATS pitfalls to avoid

• No tables, columns, text boxes, or headers/footers — they break ATS parsing.
• Avoid images of text (e.g. exported InDesign) — ATS reads them as blank.
• Use standard section labels (Experience, Education, Skills) — not 'My Journey' or 'Adventures'.
• One column, top-down layout parses far better than a sidebar template.