Sr Data Analyst (Retention Focus)

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