A Data Analyst turns raw data into insights and dashboards that drive business decisions. Below is a free, recruiter-approved Data Analyst resume sample with real bullet points, the exact skills and ATS keywords hiring managers scan for, and a step-by-step guide to writing your own. When you're ready, build it in minutes with AI, free, no login to start.
Your Name
Data Analyst
your.email@email.com · +91 90000 00000 · LinkedIn · City, India
Professional Summary
Detail-oriented Data Analyst experienced in collecting, cleaning and analysing large datasets to surface actionable insights. Skilled in SQL, Excel and BI tools, with a record of building dashboards and reports that help stakeholders make faster, data-backed decisions.
Experience
Data Analyst
E-commerce Company · 20XX – Present
Junior Data Analyst
Analytics Startup · 20XX – Present
Key Skills
Certifications
Sample content — replace with your details. ResumeX AI's AI can write these bullet points for you from a few simple answers.
Market outlook: High demand across every industry as companies invest in data-driven decision making.
Best resume format for a Data Analyst: a clean, single-column, reverse-chronological layout is safest for ATS. Lead with a strong summary, then Skills, Experience (with quantified bullets), Education and Certifications. Keep it to one page for under ~8 years of experience.
Action verbs that work: Built, Led, Delivered, Improved, Reduced, Increased, Managed, Designed, Automated, Optimised. Start each bullet with a verb and end with a measurable result.
Common mistakes to avoid: vague duties instead of achievements, missing keywords from the job description, dense multi-column layouts that confuse parsers, typos, and a generic objective. The free ATS resume checker flags missing keywords against any job description, and the cover letter generator drafts a matching letter from your resume.
SQL, Excel, a BI tool (Power BI or Tableau), Python or R, statistics, data cleaning and data visualisation. Back each skill with a project or achievement rather than just listing it.
Quantify the business outcome of your analysis — revenue found, hours saved, conversion lifted, accuracy improved — not just the tools you used.
Yes. 2–3 dashboards or analysis case studies (on GitHub, Tableau Public or a personal site) strongly improve callbacks, especially for freshers.
Almost always. SQL is the single most requested data-analyst skill — put it near the top of your skills section and reference it in your experience bullets.
Answer a few quick questions and ResumeX AI writes your summary, achievements and skills in about 60 seconds. Pick a template, run the ATS check and export a polished PDF.
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