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

Why this Data Analyst resume works in 2026

Recruiters spend an average of 8.0 seconds on a first scan. This template puts the most important parts of your data analyst story — measurable wins (NPS, weekly active users), 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 (12 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)

• Lead each bullet with a strong verb; never start with "Responsible for" or "Worked on".
• Mirror the exact keywords from 3 target job descriptions; ATS scoring is closer to exact-match than synonym-match.
• Tie every bullet to business impact, not the task — recruiters skim verbs first, numbers second, tools third.
• One bullet per role should be a "before vs after" — the rest can be ownership, scope, or process wins.

4. Projects, Certifications & Education

For senior 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

• Don't hide keywords in white text or 1pt fonts — modern ATS flags this and recruiters reject it.
• Standard fonts only: Calibri, Arial, Helvetica, or Inter — avoid display fonts.
• Use standard section labels (Experience, Education, Skills) — not 'My Journey' or 'Adventures'.
• Save and submit as .pdf only when the JD allows; otherwise use .docx for the cleanest parse.