Postúlate en Kit Empleo: kitempleo.com.ar/empleo/lo8iq

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.

Postúlate en Kit Empleo: kitempleo.com.ar/empleo/lo8iq

📌 Sr Data Analyst (Olivos)
🏢 Trafilea
📍 Olivos