Tech Resume Guide
Build a Data Analyst Resume That Gets Interviews
Free templates, ATS keywords, and resume tips written specifically for Data Analyst roles.
Data analyst resumes get filtered by ATS software before a human ever sees them, and most rejections come down to a resume that lists tools without proving what was done with them. A hiring manager wants evidence you can turn raw numbers into a decision someone acted on -- not just a list of software you've opened.
Skills ATS looks for in a Data Analyst resume
SQLExcel / Google Sheets (pivot tables, VLOOKUP)Python or R for data analysisTableau or Power BIStatistical analysisData cleaning and ETLA/B testingData visualization
What actually makes a difference
- Lead every bullet with the decision your analysis drove, not the report you produced -- "identified a 12% drop in checkout conversion, prompting a redesign" beats "built weekly conversion reports."
- Name your exact tools (SQL, Python, Tableau, Power BI) rather than "data analysis software" -- ATS systems and recruiters both filter on the literal tool name.
- Quantify the scale of data you worked with (rows, records, data sources) alongside the business impact -- both numbers matter to a hiring manager.
- If you've ever caught a data-quality issue before it caused a bad decision, that's a real bullet -- it demonstrates judgment, not just technical execution.
Add a "Technical Skills" section listing your tools and languages by name near the top -- many analyst postings run this section through an ATS keyword filter before a human ever opens the resume.
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