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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.

Required Skill Profession

Other General

Postúlate en Kit Empleo: kitempleo.com.ar/empleo/q0ofg

📌 Sr Data Analyst (Retention Focus) (Argentina)
🏢 Trafilea
📍 Argentina