Sr Data Analyst (Retention Focus)

What You'll DoAnalyze & 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 TrafileaWe're a tech-led eCommerce group scaling our own globally loved DTC brands, while helping ambitious talent grow just as fast.

How well does your experience match?

The Compass CV Gap Checker compares your background against live UAE listings and tells you exactly what to address.