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.

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