• Lead and develop a team of analysts (hiring, coaching, prioritization, career growth). • Be the product manager for analytics: run intake, stack-rank requests, ship MVP dashboards/tools, collect feedback, and iterate. • Ship decision-ready analysis: 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 the metrics that run the business. • Own data quality and consistency: KPI taxonomy, source-of-truth tables, data contracts with upstream owners, and documentation everyone can trust. • Build and maintain self-serve analytics: role-based dashboards, drill-downs, alerts, and definitions that make performance obvious at a glance. • Evolve the stack and workflows with Engineering/RevOps: define requirements, improve modeling, and keep pipelines reliable and cost-efficient.