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Senior Data Analyst

9 days ago 2025/08/03
Other Business Support Services
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Job Description

Who are we?


We are a globally expanding software technology company that helps brands communicate more effectively with their audiences. We are looking forward to expand our people capabilities and success in developing high-end solutions beyond existing boundaries and establish our brand as a Global Powerhouse.


We are free to work from wherever we want and go to the office whenever we like!!!


What is the role?


We are looking for a Senior Data Analyst to take part in our team.


What you’ll be responsible:


  • 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 (Recency, Frequency, Monetary) 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 using ClickHouse, Athena, EMR, S3, and relational sources like 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 our Customer Data Platform (CDP) and data lake analytics infrastructure.
  • We are looking for a passionate talent who has;
  • 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 (Recency, Frequency, Monetary) 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 using ClickHouse, Athena, EMR, S3, and relational sources like 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 our Customer Data Platform (CDP) and data lake analytics infrastructure.

Join Our Team!




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