• Partner cross-functionally to support analytics needs for a specific product area or initiative. • Write SQL queries and use analytics tools to create datasets and analyses that measure product usage, performance, and customer outcomes. • Build and maintain dashboards and recurring reports that help teams monitor key metrics and trends. • Support experimentation efforts by helping define success metrics and analyzing results of A/B tests and product experiments. • Develop a strong understanding of product and operational data sources to ensure accurate and consistent reporting. • Enable self-service capabilities and build on trustworthy datasets. • Perform data quality checks and proactively identify anomalies or inconsistencies and improve data processes. • Translate analytical findings into clear insights and recommendations for product teams. • Contribute to shared analytics documentation, metric definitions, and best practices. • Proactively identify areas outside the regular stream of business requests where analytics can add value.