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The US ATS-ready résumé for data analysts moving from the Philippines

US employers filter data-analyst applications through an ATS keyed to specific tools and measurable results. A Philippine CV that leads with a photo and personal details, then lists 'prepared reports' without numbers, gets screened out before a hiring manager sees your SQL. Here's how to reframe your analytics experience for the US market.

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Why data analyst résumés from the Philippines get filtered in the US

Personal data up top instead of a skills summary

Lead with a two-line summary and a tools section — not a headshot, age, and civil status. US recruiters searching an ATS want to see 'SQL, Tableau, Python' in the first third of the page, not personal information they're not allowed to weigh.

Tools not named the way US postings write them

Write the exact stack: 'SQL,' 'Power BI,' 'Tableau,' 'Python (pandas),' 'Excel (pivot tables, VLOOKUP).' Generic phrases like 'data software' or 'reporting tools' match zero ATS keywords. If the posting says 'dashboards,' say 'dashboards.'

Reports described, insights not quantified

'Generated daily and monthly reports' tells a US recruiter nothing. Show the decision your analysis drove: 'Built a churn dashboard that flagged at-risk accounts and cut monthly churn 12%' or 'A/B test that lifted conversion 9%.' Numbers are the whole point of the role.

BPO and operations analytics undersold

Many Philippine analysts come up through BPO reporting, WFM, or ops teams. That's real US-relevant experience — reframe it as scale and impact: 'Analyzed 2M+ contact records to reduce average handle time 15%,' not 'assisted the reporting team.'

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.

SQLExcelTableauPower BIPythonpandasdata visualizationA/B testingETLGoogle Analyticsdashboardsstatistical analysisKPIsSnowflake

Data Analyst résumé FAQ (Philippines → US)

Is Excel still worth listing, or only Python and SQL?
List all three. Many US data-analyst postings still name advanced Excel — pivot tables, VLOOKUP/XLOOKUP, Power Query — alongside SQL and a BI tool. The ATS matches each one, so include the ones you genuinely know.
How do I show impact if my old reports were confidential?
Use directional or approximate figures you can defend in an interview — percentages, record volumes, time saved — without disclosing proprietary data. 'Reduced reporting turnaround from 2 days to 4 hours' is safe, specific, and ATS-friendly.
Should I include my TIN, address, or references list?
No. Drop the TIN, full address, birthdate, and the 'References available' block entirely — US résumés omit all of it. Use that space for a stronger skills and results section.

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