Enable decision-making by delivering actionable insights on user behavior, market trends, and business performance. Drive product analytics by defining KPIs, designing experiments, analyzing feature performance, and identifying opportunities to improve engagement and product-market fit. Build and maintain dashboards and self-service analytics tools. Collaborate with business and product owners to shape roadmaps, prioritize features, and measure success. Tell compelling data stories to communicate complex insights to technical and non-technical audiences. Transform, clean, and model raw data using DBT to create reliable, analytics-ready datasets. Maintain and improve the data warehouse structure with efficient, scalable models.