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Sr Data Analyst (Retention Focus)
Trafilea Β· Remote
About The 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 β repeat β 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
- Weβre a tech-led eCommerce group scaling our own globally loved DTC brands, while helping ambitious talent grow just as fast.
- π We build and scale our own brands.
- π¦Ύ We invest in AI and automation like few others in eCom.
- π We test fast, grow fast, and help you do the same.
- π€ Be part of a dynamic, diverse, and talented global team.
- π 100% Remote, USD competitive salary, paid time off, and more.
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