- Track and evaluate portfolio performance across risk, credit, and business dimensions through deepdive cuts and analytical dashboards.
- Generate proactive insights beyond standard MIS to detect emerging trends, opportunities, and risks.
Process Improvement
- Continuously assess and optimize existing analytics workflows and crossfunctional processes.
- Improve operational efficiency while supporting scalability and cost optimization for internal teams.
Cross-Sell & Growth Analytics
- Identify cross-sell opportunities through existing customer data mining
- Support campaign performance tracking
basic dashboards)
- Python / R (basic) for data analysis (pandas, numpy preferred)
- Understanding of data structures & databasesJ
Role: Business Intelligence & Analytics - Other, Industry Type: Real Estate, Department: Data Science & Analytics, Employment Type: Full Time, Permanent Role Category: Business Intelligence & Analytics Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills Portfolio MonitoringSQLPython Portfolio ManagementPortfolio AnalysisPortfolio Analytics