Data Analyst Resume Example
See a real‑world data analyst resume example that is structured for Applicant Tracking Systems (ATS) and hiring managers—then adapt it to your own career story.
Check My Resume with ResumeAtlasData Analyst roles are crowded, and most applications are filtered by Applicant Tracking Systems (ATS) before a human recruiter reads them. To stand out, your resume needs two things: the right keywords for the role and clear, quantified impact. Use this example as a starting point, then tailor it to the specific job description you are targeting.
Last updated: March 2026
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Data Analyst – Resume Example
Alex Rivera
Data Analyst · email@example.com · City, Country · LinkedIn · Portfolio
Professional Summary
Data analyst with 4+ years of experience turning messy data into clear, actionable insights for product, marketing, and operations teams across B2B SaaS.
Skills
React • TypeScript • Next.js • HTML • CSS • Accessibility • REST APIs • SQL • Testing
Experience Highlights
- Owned end‑to‑end analysis for user growth funnel, using SQL, Python, and Tableau to identify drop‑off points and recommend experiments that increased activation by 14%.
- Built automated reporting in Looker for executive KPIs (MRR, churn, CAC payback), reducing manual reporting time by 12 hours per month.
- Designed and implemented A/B tests with product managers; analyzed results using statistical methods and clearly communicated trade‑offs to non‑technical stakeholders.
- Partnered with engineering to improve event tracking and data quality, increasing trustworthy coverage of key product events from 68% to 96%.
Education
B.S. in Computer Science
University of Example
Why This Data Analyst Resume Works
This example focuses on outcomes, ownership, and relevant keywords for the role. Each bullet pairs a concrete action (what you did) with a measurable result (why it mattered). Standard headings like Experience, Skills, and Education keep the layout parse‑friendly for ATS while still being easy for a recruiter to skim in under 30 seconds.
ATS Keywords for a Data Analyst
Use the exact language from the job description where it truthfully matches your background. Common keyword categories for data analyst roles include:
Core skills
- Role‑specific tools and technologies
- Core frameworks and languages
- Data, analytics, or experimentation (where relevant)
Impact & collaboration
- Cross‑functional collaboration
- Stakeholder communication
- Ownership of roadmaps, projects, or systems
For a deeper, role‑specific keyword list, see ATS keywords for data analyst resumes.
Tips to Improve Your Data Analyst Resume
- Start each bullet with a strong verb and end with a specific outcome or metric (e.g. time saved, revenue, adoption).
- Mirror the job description’s keywords where they accurately describe your work, and remove buzzwords that don’t map to real experience.
- Keep formatting simple: one column, standard headings, no images or text inside tables.
- Run your resume and target job description through the free ResumeAtlas ATS resume checker to see keyword gaps before you apply.
Check How Your Data Analyst Resume Scores
Paste your resume and the job description into ResumeAtlas. You'll see an ATS‑style match score, missing skills, and specific suggestions to tighten your bullets for this role before you apply.
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FAQ
What does a strong Data Analyst resume include?
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A strong Data Analyst resume includes a clear summary, impact‑focused bullets with metrics, ATS‑friendly keywords for the tools and technologies you use, and a clean layout with standard sections like Experience, Skills, and Education.
How can I make my Data Analyst resume pass ATS?
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Use the same language as the job description for skills and responsibilities, keep formatting simple (one column, no images), and run your resume through an ATS checker like ResumeAtlas to spot missing keywords.
Do I need multiple versions of my Data Analyst resume?
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Yes. For competitive roles, tailoring your resume to each job description—especially the skills and impact bullets—significantly improves your ATS match score and your chances of getting an interview.