Analytics & Modeling Analyst

About the role

The Data Analytics & Solutions team within Model Development is responsible for developing, validating, and enhancing property data and analytical solutions that support property exposure assessment and catastrophe risk modeling. The team works with large-scale property, geospatial, and risk-related datasets to improve data accuracy, consistency, and usability.

What you'll do

• Analyze structured, semi-structured, and geospatial datasets to uncover trends, identify anomalies, and generate insights that support business and modeling decisions
• Support the development and enhancement of property insurance datasets, analytical products, spatial data layers, and reporting solutions
• Apply statistical and analytical techniques to improve data quality, validate datasets, investigate issues, and contribute to model and product improvement initiatives
• Partner with analysts, data scientists, modelers, engineers, and global stakeholders to deliver scalable, data-driven solutions
• Develop clear documentation, analytical summaries, dashboards, presentations, and reports that enable informed decision-making

What you need

• 3–5 years in data & business analytics
• Analytics
• SQL
• Data analysis
• Python
• Pandas
• Statistics
• B.Tech or B.E. or M.Tech or PhD

Good to have

• Power BI
• ETL
• Tableau
• Machine learning
• Dashboarding
• NumPy