General resume template

• Led revenue, retention, and product analytics for a $120M SaaS portfolio, translating stakeholder questions into SQL-driven insights and executive recommendations.
• Developed Tableau dashboards monitoring activation, expansion, and churn KPIs, reducing manual reporting by 16 hours weekly across go-to-market teams.
• Designed A/B test measurement frameworks for onboarding experiments, identifying a workflow change that increased trial-to-paid conversion by 9%.
• Automated recurring data quality checks in Snowflake and dbt, reducing reporting discrepancies by 31% and improving trust in leadership dashboards.
• Partnered with Finance to rebuild forecasting inputs, improving quarterly bookings forecast accuracy from 82% to 91% within two planning cycles.

• Analyzed customer behavior, promotions, and inventory trends across 3.5M transactions, uncovering margin opportunities worth $2.1M annually.
• Built Power BI dashboards for merchandising leaders, improving visibility into category performance, stockouts, and promotional lift across 180 stores.
• Created Python-based data preparation workflows that reduced monthly analysis cycle time by 45% while improving consistency of recurring reports.
• Collaborated with marketing to evaluate campaign performance, reallocating spend toward high-value segments and increasing return on ad spend by 18%.

• Built a churn risk model using product usage, billing, and support data, improving renewal targeting precision by 24%.
• Partnered with Customer Success leaders to operationalize weekly risk dashboards, helping reduce preventable churn by 11% over two quarters.

• Standardized executive KPI definitions across sales, product, and finance teams, reducing metric reconciliation requests by 38%.
• Created Tableau dashboards with governed Snowflake data sources, cutting monthly business review preparation time from three days to six hours.

Relevant coursework: regression analysis, database systems, applied econometrics, data visualization.