Data Analyst

● Design and run A/B tests and quasi-experiments to evaluate the impact of product changes on key metrics like engagement, retention, and conversion.

● Analyze experiment results and generate actionable insights to guide product improvements.

● Conduct deep-dive user behavior analyses using statistical techniques and machine learning to uncover trends and root causes.

● Translate complex data into clear, strategic recommendations for product enhancements.

● Build and maintain intuitive dashboards to track product and feature performance in real time.

● Visualize data effectively to highlight trends, anomalies, and opportunities, enabling data-driven decisions across teams.