Built executive dashboards in Tableau that replaced 12 manual reports and saved 20 hours per week.

Wrote complex SQL queries across 30+ tables to answer pricing, churn, and retention questions.

Identified a checkout drop-off pattern that led to a redesign and a 9% lift in conversion.

Cleaned and validated large datasets, improving reporting accuracy and stakeholder trust.

Developed forecasting models in Python that predicted monthly demand within 5% accuracy.

Presented findings to leadership with clear visuals and concrete recommendations.

Partnered with engineering to define tracking events and build a reliable analytics pipeline.