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Sr Data Analyst (Retention Focus)

Roles & Responsibilities

  • Strong experience in retention analytics, churn drivers, lifecycle cohorts, and LTV analysis
  • Proficiency in Python and SQL with ability to build data pipelines and automate reporting
  • Experience with A/B testing, lifecycle experiments, and applying regression/time-series models for forecasting
  • Excellent communication and collaboration skills with ability to translate business questions into analyses and mentor junior analysts

Requirements:

  • Conduct deep-dive analyses on retention, churn, cohorts, LTV, and lifecycle KPIs; identify drivers and deliver root-cause insights with actionable recommendations
  • Build and maintain cohort-based and predictive models (churn prediction, LTV forecasting); design and analyze A/B tests and lifecycle experiments; support incrementality measurement for retention initiatives
  • Automate and scale retention analytics by creating Python/SQL scripts to automate recurring reporting; build scalable data pipelines for customer lifecycle metrics; establish QA processes
  • Partner with business teams to translate retention questions into analyses; present insights to non-technical stakeholders; collaborate on metrics and dashboards; share knowledge and mentor junior analysts

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 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

We’re a tech-led eCommerce group scaling our own globally loved DTC brands, while helping ambitious talent grow just as fast.

πŸš€ We build and scale our own brands.

🦾 We invest in AI and automation like few others in eCom.

πŸ“ˆ 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.

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