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Sr Data Analyst (Retention Focus) at Trafilea. Location Information: . What You'll Do. Analyze & Uncover Insights. Conduct deep-dive analyses on . retention, repeat rate, churn, cohorts, LTV, and lifecycle KPIs. Analyze customer behavior across the funnel (first purchase → repeat → loyal customer). Perform exploratory data analysis (EDA) to answer ad-hoc retention and lifecycle questions. Identify drivers of churn and loyalty, delivering root-cause analysis with actionable recommendations. Model & Predict. Build and maintain . cohort-based and predictive models. (churn prediction, LTV forecasting). Design and analyze . A/B tests and lifecycle experiments. (email, SMS, loyalty, offers, timing). Support incrementality measurement for retention initiatives and CRM campaigns. Apply regression and time-series models to forecast retention and repeat revenue trends. Automate & Scale. Create Python/SQL scripts to automate recurring . retention and cohort reporting. Build scalable data pipelines for customer lifecycle metrics. Develop QA processes to ensure accuracy and consistency in customer-level data. Partner with the Business. Translate retention and lifecycle business questions into technical analyses. Present insights clearly to non-technical stakeholders (CRM, Marketing, Growth, Finance). Collaborate with BI, Growth, and Lifecycle teams to define metrics and dashboards. Proactively surface insights that improve customer experience and long-term value. Share Knowledge. Document retention methodologies, analyses, and models. Mentor junior analysts on lifecycle analytics best practices. Help establish analytical standards for retention and customer insights. Why Trafilea. We’re a tech-led eCommerce group scaling our own globally loved DTC brands, while helping ambitious talent grow just as fast.. 🚀 We build and scale our own brands.. 🦾 We invest in AI and automation like few others in eCom.. 📈 We test fast, grow fast, and help you do the same.. 🤝 Be part of a dynamic, diverse, and talented global team.. 🌍 100% Remote, USD competitive salary, paid time off, and more.. Technical Skills (Must Have). Advanced SQL:. Complex queries, CTEs, window functions; experience with data warehouses (BigQuery, Snowflake, Redshift). Python for Analytics:. Pandas, NumPy; visualization libraries; automation scripting. Statistical Modeling:. Regression, cohort analysis, time-series forecasting, hypothesis testing. Retention & Lifecycle Analytics:. Strong understanding of churn, retention curves, cohorts, LTV, repeat purchase behavior. Data Visualization:. Ability to build clear dashboards and charts; experience with BI tools (Looker, Tableau, Power BI, etc.). Technical Skills (Nice to Have). Experience with . CRM or lifecycle channels. (Email, SMS, Push, Loyalty programs). A/B testing and experimentation frameworks for retention initiatives. Incrementality measurement for lifecycle campaigns. E-commerce or DTC analytics background. Soft Skills. Analytical mindset:. Structured, hypothesis-driven problem solver. Communication:. Translate customer data into clear business narratives. Business acumen:. Strong understanding of unit economics and LTV impact. Proactivity:. Identifies retention opportunities without being asked. Collaboration:. Works cross-functionally with Growth, CRM, Product, and BI. Attention to detail:. High standards for data quality, documentation, and reproducibility