Central Planning & Optimization Data Analytics Professional
Trendyol Group
PythonSQLTableau
Job Level
Senior
Tech Stack
MongoDBPostgres
About the role
- 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)
- Create advanced customer segmentation models and develop RFM (Recency, Frequency, Monetary) analyses
- Collaborate with product and marketing teams to improve churn prediction models, retention initiatives, and personalization strategies
- Translate business questions into structured data problems using 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 a Customer Data Platform (CDP) and data lake analytics infrastructure