Analyze large-scale customer behavior data across digital channels (SMS, push, email, WhatsApp, RCS, Telegram) to uncover insights on click/open likelihood, conversion funnels, and engagement trends
Create advanced customer segmentation models and develop RFM analyses to identify high-value customers and optimize targeting
Collaborate with product and marketing teams to deliver insights that improve churn prediction models, retention initiatives, and personalization strategies
Translate business questions into structured data problems and query data from ClickHouse, Athena, EMR, S3, PostgreSQL, and MongoDB
Build and maintain dashboards, reports, and analytical frameworks to monitor customer journeys, campaign effectiveness, and growth KPIs
Contribute to the evolution of the Customer Data Platform (CDP) and data lake analytics infrastructure
Requirements
Analyze large-scale customer behavior data across digital channels (SMS, push, email, WhatsApp, RCS, Telegram)