Data Analyst Resume Example & Writing Guide (2026)
A data analyst resume that turns SQL, dashboards, and insights into measurable business impact. This guide shows you exactly what a strong data analyst resume looks like — a model professional summary, quantified bullet points, the skills and ATS keywords recruiters scan for, and the mistakes that get resumes rejected.
Data Analyst Professional Summary Example
Data Analyst with 4 years translating complex datasets into decisions that drive revenue. Built dashboards informing $2M in budget allocation and improved forecast accuracy by 18%. Fluent in SQL, Python, and Tableau.
Data Analyst Resume Bullet Point Examples
Strong bullets start with an action verb and end with a measurable result. Use these as templates and swap in your own numbers:
- Built self-serve Tableau dashboards that cut ad-hoc reporting requests by 60%.
- Improved demand-forecast accuracy by 18% using a Python regression model.
- Identified a churn driver via cohort analysis, informing a campaign that retained $500K in ARR.
- Automated weekly ETL pipelines, saving the team 10 hours per week.
- Partnered with marketing to A/B test landing pages, lifting conversion by 22%.
- Standardized KPI definitions across 6 teams, eliminating conflicting metrics.
Key Hard Skills
Valued Soft Skills
ATS Keywords for a Data Analyst Resume
Applicant Tracking Systems rank your resume on keyword relevance. Naturally weave these terms into your summary, skills, and experience — but only where they're true. Learn more in our guide to Applicant Tracking Systems.
Powerful Action Verbs for Data Analysts
Common Data Analyst Resume Mistakes to Avoid
- Listing tools without the decisions or dollars they influenced.
- Showing tasks ('built reports') instead of outcomes ('cut requests 60%').
- Cramming charts or graphics that ATS parsers can't read.
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Start building freeData Analyst Resume FAQs
Should a data analyst resume include a portfolio link?
Yes — a link to GitHub, a Tableau Public profile, or a personal site showing real analyses gives recruiters proof of skill. Place it in your contact header next to LinkedIn.
SQL or Python first on a data analyst resume?
Lead with whichever the job description emphasizes. For most analyst roles, SQL is the core requirement, so list it first in your skills section and reference it in your bullet points.