Source description
About the role
Own customer segmentation and behavioral analytics to uncover patterns, identify opportunities, and influence roadmap priorities across product, marketing, and member experience. Build audience models that inform personalized lifecycle marketing, retention campaigns, and upsell opportunities. Build and maintain predictive models (e.g., churn risk, LTV) to improve targeting, personalization, and lifecycle marketing effectiveness. Define, implement, and analyze A/B and multivariate tests across the member journey to inform product and growth decisions. Analyze member engagement trends and uncover drivers of churn, reactivation, and loyalty; develop strategies to improve retention and engagement. Develop and manage dashboards and reporting frameworks that provide real-time visibility into KPIs and core funnel metrics. Work cross-functionally to ensure reliable, accurate data sources and deliver insights that influence senior-level decision-making. Help shape our analytics culture and build foundational practices for a future analytics and data science team.
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