Lead and develop a team of analysts (hiring, coaching, prioritization, career growth). Act as the product manager for analytics: run intake, prioritize requests, ship dashboards/tools, collect feedback, and iterate. Ship decision-ready analysis including pipeline health, funnel conversion, cohort/retention, GRR/NRR drivers, marketing performance, and forecast inputs. Partner with GTM (Sales, Marketing, Client Success) plus PeopleOps, Finance, and Operations to map use cases and deliver business metrics. Own data quality and consistency: KPI taxonomy, source-of-truth tables, data contracts, and documentation. Build and maintain self-serve analytics: role-based dashboards, drill-downs, alerts, and definitions. Evolve the stack and workflows with Engineering/RevOps: define requirements, improve modeling, and ensure pipeline reliability and cost-efficiency.