About this role
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.
Requirements
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 Apply directly on RemoteJobs.org: https://remotejobs.org/remote-jobs/sr-data-analyst-retention-focus-trafilea