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Professional Summary
“Data analyst with 4 years transforming raw data into actionable business insights using SQL, Python, and Tableau. Skilled in building dashboards, conducting ad-hoc analyses, and presenting findings to non-technical stakeholders to drive strategic decision-making.”
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Key Skills
SQLPythonTableauExcel/Google SheetsPower BIStatistical AnalysisData CleaningETL ProcessesGoogle AnalyticsLookerdbt
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Sample Experience Bullets
- Built the executive dashboard in Tableau tracking 25+ KPIs across 4 business units. The C-suite uses it as their primary decision tool
- Found $800K in revenue leakage through funnel analysis. The checkout redesign that followed recovered 90% of lost conversions
- Automated 15 weekly reports with Python and SQL scripts. Saved the analytics team about 20 hours of manual work per week
- Did a cohort analysis that showed users who finish onboarding within 24 hours have 3x higher lifetime value. Changed how we prioritize onboarding features
- Created A/B test analysis templates that 5 product teams now use. Standardized how we measure experiments across the company
- Responsible for ad-hoc data requests from product, marketing, and finance. Handled about 10-15 requests per week
- Wrote SQL queries against our Snowflake warehouse to investigate customer behavior patterns and support ticket trends
- Worked with the marketing team to build UTM tracking and attribution reports in Google Analytics 4
- Cleaned and validated data from 8 different source systems before it went into dashboards. Documented data quality issues and workarounds
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ATS Keywords
Include these keywords in your resume to pass Applicant Tracking Systems.
data analystbusiness intelligenceSQL analystdata visualizationreportingdashboardKPI trackingad-hoc analysisTableaudata-driven insights
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Recommended Certifications
- Google Data Analytics Professional Certificate
- Tableau Desktop Certified Associate
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