Career Guide · 2026

Resume Tips for Data Analysts

Updated June 2026 · By the RISN team

Writing a resume as one of the many data analysts competing for the same roles means standing out in two places at once: the applicant tracking system that screens you first, and the recruiter who reads you second. This guide covers exactly how data analysts should approach both.

What Data Analysts should put at the top

Lead with a professional summary that names your specialty and your strongest, most quantified achievement. For data analysts, recruiters scan for specific competencies in the first few seconds — put them where they can't be missed.

The keywords Data Analysts can't skip

Applicant tracking systems rank data analysts partly on keyword overlap with the job description. Mirror the exact terms the posting uses — tools, certifications, and methodologies named in the listing should appear in your resume wherever they're true.

Quantifying impact as one of the data analysts

Numbers separate strong resumes from generic ones. Whatever data analysts do day to day, translate it into measurable outcomes — volume handled, time saved, revenue influenced, errors reduced, people trained.