Data Analytics Customer Intelligence Specialist

Job purpose & summary

The Data Analytics / Customer Intelligence Specialist is responsible for transforming raw consumer datasets into predictive, highly actionable commercial intelligence. Operating at the intersection of data science and business strategy, this role focuses on translating intricate consumer behaviors into optimized commercial strategies. The successful candidate will design robust predictive frameworks and build self-service visualization assets to guide corporate decision-making.

Key responsibilities

• Build and validate advanced propensity models to predict customer churn, upgrade behaviors, and product affinity.
• Perform granular behavioral analytics on multi-structured datasets to uncover hidden patterns, journey friction points, and engagement lifecycle stages.
• Own the design, deployment, and optimization of end-to-end commercial analytics frameworks that directly measure marketing ROI and portfolio performance.
• Develop, maintain, and refresh corporate dashboards utilizing Power BI or Tableau to provide automated, real-time metrics for executive leadership.
• Extract, clean, and manipulate heavy transactional and profile records from central enterprise data warehouses.
• Act as an analytical business partner, converting data findings into commercial recommendations for product development and marketing departments.

Job requirements & qualifications

• Experience: 3 to 7 years of specialized professional experience in an analytics-focused capacity.
• Domain background: Prior exposure to banking analytics, customer intelligence divisions, predictive statistical teams, or sophisticated commercial analysis environments.
• Technical exposure (preferred): Deep, demonstrable proficiency utilizing SQL for database querying/data manipulation and Python for statistical modeling.
• Visualization stack: Strong hands-on experience building structured, production-ready interactive visual dashboards in Power BI or Tableau.
• Analytical specialties: Direct experience applying predictive modeling techniques (such as propensity modeling) and executing behavioral analytics tracks.