Own Retention for Millions of Customers. Ready to Step Up?At Trafilea, you won’t just analyze retention — you’ll shape how millions of customers come back, stay loyal, and drive long-term revenue.We operate at a scale most companies can’t match:$1B+ revenue, 12M+ customers, 1B+ data points analyzed.Your insights won’t sit in dashboards. They’ll directly influence LTV, repeat revenue, and the future of our brands.The Role: Retention & Lifecycle Data AnalystThis is not a reporting role.This is a high-impact analytical position where you’ll own retention insights end-to-end, from deep analysis to predictive modeling and experimentation.You’ll work with Growth, CRM, and BI teams to turn customer behavior into revenue-driving decisions.What You’ll OwnAnalyze & Uncover InsightsDeep-dive into retention, churn, cohorts, LTV, and lifecycle KPIsUnderstand the full journey: first purchase → repeat → loyaltyIdentify why customers leave or stay and turn that into actionDeliver root-cause analysis with clear business recommendationsBuild churn prediction and LTV forecasting modelsDesign and analyze A/B tests across lifecycle channels (Email, SMS, offers)Forecast retention and repeat revenue trends using statistical modelsMeasure incrementality of CRM and retention initiativesPartner with the BusinessTranslate business questions into analytical frameworksPresent insights clearly to non-technical stakeholdersCollaborate with Growth, CRM, BI, and FinanceProactively identify opportunities to improve customer experience and LTVShare KnowledgeDocument methodologies and modelsMentor analysts on lifecycle best practicesHelp define standards for retention analyticsWho You AreAdvanced SQL (CTEs, window functions, large-scale data warehouses)Strong Python for analysis, modeling, and automationSolid statistical foundation (regression, forecasting, hypothesis testing)Deep understanding of retention, churn, cohorts, and LTVNice to have:CRM/lifecycle channels experience (E
