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Data Analyst with 4 years of experience transforming complex datasets into actionable business insights for product, marketing, and operations teams. Expert in SQL, Python, and Tableau with a track record of building dashboards and analyses that have driven $5M+ in revenue impact. Strong communicator who bridges the gap between technical data work and business strategy.
Amazon
• Build and maintain 20+ Tableau dashboards tracking KPIs for Prime Video content acquisition team ($2B annual budget) • Developed customer segmentation model using Python (pandas, scikit-learn) identifying 3 high-value cohorts driving 60% of watch time • Automated weekly reporting pipeline using SQL and Airflow, reducing manual report generation from 8 hours to 15 minutes • Partnered with product team to design A/B test measurement framework, evaluating 30+ experiments per quarter • Presented quarterly business review insights to VP-level stakeholders, influencing $50M content investment decisions
Zillow
• Analyzed user behavior data across 200M+ monthly site visitors to identify conversion funnel bottlenecks • Built predictive model for lead scoring that improved sales team close rate by 18% ($3M annual revenue impact) • Created self-service Looker dashboards reducing ad-hoc data requests by 40% across marketing and product teams • Wrote complex SQL queries across 50+ tables in Snowflake data warehouse for cross-functional analysis • Collaborated with engineering to define event tracking schema for new mobile app features
T-Mobile
• Analyzed customer churn patterns across 5M subscriber base, identifying 4 key risk factors used in retention campaigns • Built Excel-based forecasting model for store-level inventory planning with 92% accuracy • Automated monthly KPI reports using Python scripts, eliminating 20 hours of manual work per month
University of Washington
Minor in Computer Science. Dean's List. Undergraduate research in applied statistics.
Google Data Analytics Professional Certificate. R programming and data visualization.
Google Data Analytics Professional Certificate Tableau Desktop Specialist Certified Kaggle Competition: Top 5% in Customer Churn Prediction (2021) Medium: "SQL Patterns Every Data Analyst Should Know" (15K reads)
Data Analyst with 4 years of experience transforming complex datasets into actionable business insights for product, marketing, and operations teams. Expert in SQL, Python, and Tableau with a track record of building dashboards and analyses that have driven $5M+ in revenue impact. Strong communicator who bridges the gap between technical data work and business strategy.
Amazon
• Build and maintain 20+ Tableau dashboards tracking KPIs for Prime Video content acquisition team ($2B annual budget) • Developed customer segmentation model using Python (pandas, scikit-learn) identifying 3 high-value cohorts driving 60% of watch time • Automated weekly reporting pipeline using SQL and Airflow, reducing manual report generation from 8 hours to 15 minutes • Partnered with product team to design A/B test measurement framework, evaluating 30+ experiments per quarter • Presented quarterly business review insights to VP-level stakeholders, influencing $50M content investment decisions
Zillow
• Analyzed user behavior data across 200M+ monthly site visitors to identify conversion funnel bottlenecks • Built predictive model for lead scoring that improved sales team close rate by 18% ($3M annual revenue impact) • Created self-service Looker dashboards reducing ad-hoc data requests by 40% across marketing and product teams • Wrote complex SQL queries across 50+ tables in Snowflake data warehouse for cross-functional analysis • Collaborated with engineering to define event tracking schema for new mobile app features
T-Mobile
• Analyzed customer churn patterns across 5M subscriber base, identifying 4 key risk factors used in retention campaigns • Built Excel-based forecasting model for store-level inventory planning with 92% accuracy • Automated monthly KPI reports using Python scripts, eliminating 20 hours of manual work per month
University of Washington
Minor in Computer Science. Dean's List. Undergraduate research in applied statistics.
Google Data Analytics Professional Certificate. R programming and data visualization.
Google Data Analytics Professional Certificate Tableau Desktop Specialist Certified Kaggle Competition: Top 5% in Customer Churn Prediction (2021) Medium: "SQL Patterns Every Data Analyst Should Know" (15K reads)
A technical data analyst resume demonstrating SQL expertise, data visualization skills, and business impact through analytics. Ideal for analysts in tech, finance, or e-commerce.
2019-06 — 2020-06
T-Mobile
University of Washington
Bachelor of Science in Statistics · 2016-09 — 2020-06
Minor in Computer Science. Dean's List. Undergraduate research in applied statistics.
Professional Certificate in Data Analytics · 2020-03 — 2020-06
Google Data Analytics Professional Certificate. R programming and data visualization.
SQL (Advanced) · Python (pandas, numpy, scikit-learn) · Tableau · Looker · Snowflake · Excel (Advanced) · A/B Testing · Statistical Analysis · ETL / Airflow · Google Analytics · Data Storytelling · Stakeholder Communication
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A strong software engineer resume showcasing full-stack development skills, technical projects, and measurable impact. Ideal for mid-level developers targeting top tech companies.
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