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

Why this Data Analyst resume works in 2026

Recruiters spend an average of 7.1 seconds on a first scan. This template puts the most important parts of your data analyst story — measurable wins (revenue, deploy frequency), 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 (10 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)

• Owned revenue by 51% over two quarters via a measurable change you led.
• One bullet per role should be a "before vs after" — the rest can be ownership, scope, or process wins.
• Lead each bullet with a strong verb; never start with "Responsible for" or "Worked on".
• Use parallel structure across bullets — same tense, same shape — it scans faster.

4. Projects, Certifications & Education

For entry-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.
• One column, top-down layout parses far better than a sidebar template.
• Avoid images of text (e.g. exported InDesign) — ATS reads them as blank.
• Save and submit as .pdf only when the JD allows; otherwise use .docx for the cleanest parse.