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.

Requirements

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
  
  

modelling) and executing behavioral analytics tracks.