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Sr Data Analytics (Retention Focus)

  • Remote
  • Data

Job description

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.

Job 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

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