Data Analyst Resume
Data analysts transform raw data into actionable business insights. A strong resume showcases analytical tools proficiency, statistical methods, and the business impact of data-driven recommendations.
Build Your Data Analyst ResumeKey Skills for Data Analyst
Strong vs. Weak Bullet Points
Created reports and dashboards for the team
Designed 15+ interactive Tableau dashboards tracking $50M revenue pipeline, adopted by 4 departments as primary decision-making tool
Analyzed data to find trends
Identified seasonal demand patterns through time-series analysis of 3 years of sales data, enabling inventory optimization that saved $420K annually
Helped improve marketing campaigns
Built predictive customer segmentation model using Python and scikit-learn, increasing email campaign ROI by 62%
Writing Tips for Data Analyst Resumes
Highlight tools AND business outcomes — 'Built dashboard in Tableau' is incomplete without the decision it enabled
Quantify everything: dollars saved, percentage improvements, records processed, stakeholders served
Show your SQL proficiency — it's the most requested skill. Mention complex queries, optimization, CTEs
Include a Projects section if you have Kaggle competitions, open-source analysis, or personal data projects
Mention data governance, quality assurance, or documentation skills — they signal maturity
How to Format Your Data Analyst Resume
A well-formatted data analyst resume balances readability with ATS compatibility. These format rules apply across the entire data analyst hiring pipeline — from automated tracking system parsing to recruiter quick-scan.
Length
1 page for entry to mid-level data analyst roles, 2 pages maximum for senior+. Recruiters spend 6–8 seconds on the initial review, so prioritize impact over completeness.
File format
Submit as PDF unless the application explicitly requests .docx. PDF preserves formatting across systems and is universally ATS-readable.
Layout
Single column for ATS parsing. Standard section order: Contact → Summary → Experience → Skills → Education → Certifications. Avoid tables and text boxes.
Typography
10–11pt sans-serif fonts (Arial, Calibri, Helvetica). 1.15 line spacing. 0.5–1 inch margins. Skip fancy headers, columns, or graphics that break ATS parsing.
Section priority for Data Analyst
Lead with a Technical Skills section directly under your summary, then Experience with quantified impact (latency, scale, costs). Include GitHub or portfolio link in the contact area.
Quantify impact
Every bullet should include a metric — percentages, dollar amounts, scale, or time saved. "Improved performance" is weak; "Reduced load time by 40%, cutting infrastructure costs $180K/year" is strong.
ATS Keywords
Include these keywords to pass Applicant Tracking Systems
Data Analyst Resume FAQ
Related Resume Examples
Data Scientist
Data scientists build predictive models, run experiments, and extract insights from complex datasets. A strong resume highlights ML expertise, statistical methods, and business impact of data-driven solutions.
Business Analyst
Business analysts bridge the gap between business needs and technical solutions. A strong resume demonstrates stakeholder management, requirements documentation, and process optimization with quantifiable outcomes.
Financial Analyst
Financial analysts evaluate investment opportunities, build financial models, and guide business decisions. A strong resume showcases analytical rigor, modeling proficiency, and strategic financial recommendations.
Software Engineer
Software engineers design, develop, and maintain software systems. A strong resume highlights technical proficiency, project impact, and collaborative problem-solving with quantifiable metrics.
Build your Data Analyst resume
Use AI to generate tailored bullet points and optimize for ATS — free editor, no credit card. Download as PDF when you’re ready.
Start Building Free