The US ATS-ready résumé for data analysts moving from India
US analytics teams screen for specific tools and quantified business impact — and they do it with an ATS first. An Indian analyst CV heavy on responsibilities and light on numbers gets filtered. Here’s the fix for a US data-analyst search.
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Why data analyst résumés from India get filtered in the US
Tools must match the stack, exactly
US postings name tools precisely: “SQL”, “Power BI”, “Tableau”, “Excel (advanced)”, “Python (pandas)”. Vague phrases like “data visualization tools” score zero on keyword match. Name each tool the posting uses.
Business outcomes over task lists
“Made dashboards for management” is invisible. “Built a churn dashboard that cut monthly reporting time 60% and flagged $1.2M at-risk revenue” is what US recruiters and the ATS reward.
One clean column, no infographic CVs
Canva-style two-column analyst CVs with charts and icons are parse-killers. Recruiters can’t select the text and the ATS drops half of it. Use a single-column, text-only layout.
US ATS keywords recruiters screen for
Mirror the ones the job posting uses — truthfully, and proven inside a real bullet, not just listed. Our free checker tells you which you’re missing.
Data Analyst résumé FAQ (India → US)
- Which tools should a US data-analyst résumé lead with?
- Lead with the ones in the job description — usually SQL plus one BI tool (Tableau or Power BI) and Excel, then Python if the role is technical. List them as plain text under a Skills heading and prove the top ones inside a bullet.
- Do I need to quantify every bullet?
- Aim for a number on most — time saved, revenue influenced, error reduced, users served. Quantified impact is the single biggest gap on résumés that fail the US content rubric.
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