• Build and maintain data pipelines integrating subscription and membership data from source systems to provide a complete view of the member lifecycle and value. Ensure data quality, lineage, and governance standards for membership data systems. • Build predictive models to understand drivers of member retention, churn, reactivation, and LTV by segment, channel, and cohort. • Lead the design, implementation, and analysis of A/B tests and other experiments across pricing, packaging, and lifecycle communications to quantify impact and inform membership strategy and roadmap decisions. • Partner with Marketing, Finance, and Product teams to design and evaluate offers that improve acquisition efficiency and member retention, and to integrate these learnings into long-term strategic roadmaps. • Build models to optimize membership growth and retention, informing business decisions to strategically optimize financial decisions. • Leverage data engineering and analytical skills to transform data into actionable and reportable insights. • Develop dashboards and reporting tools to visualize membership funnel KPIs, cohort performance, and the impact of product/business changes on member outcomes.