Job Description
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
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
Ready to Apply?
Submit your application today and join our talented team at Trafilea.
Submit ApplicationJob Details
- Location lanús, lanús
- Job Type Full-time
- Category Other-General
- Posted Date March 02, 2026
- Application Deadline April 11, 2026