Data Analyst - Insurance domain

Overview

1. Insurance Domain Data Analysis

• Analyze insurance data across Policy Administration, Claims, Underwriting, Billing, and Reinsurance systems
• Work closely with business stakeholders to understand data requirements and regulatory needs
• Interpret complex insurance data models and business rules

2. Data Migration

• Perform source-to-target data mapping and transformation logic documentation
• Conduct data profiling, cleansing, validation, and reconciliation activities
• Identify data gaps, inconsistencies, and quality issues during migration
• Support migration from legacy systems to modern core insurance platforms
• Validate migrated data through UAT and post-migration audits

3. Master Data Management (MDM)

• Support implementation and maintenance of MDM frameworks
• Manage different data sets and data sources.
• Define and monitor data quality KPIs
• Ensure standardization, de-duplication, and golden record creation
• Work with governance teams to enforce data standards and policies

4. Reporting & Insights

• Develop dashboards and reports using tools such as Microsoft Power BI and Tableau
• Perform ad-hoc analysis to support underwriting and claims performance
• Present data insights to business and leadership teams

Required Qualifications

• Bachelor’s degree in data science, Computer Science, Statistics, Finance, or related field
• 4–8 years of experience as a Data Analyst, preferably in the insurance domain
• Strong SQL skills (e.g., Oracle Database, Microsoft SQL Server, , MySQL)
• Experience in data migration projects (ETL, mapping, reconciliation)
• Hands-on experience with Master Data Management concepts and tools
• Strong understanding of data governance and data quality frameworks
• Knowledge of insurance regulatory requirements and compliance standards
• Proficiency in Excel and data analysis techniques
• Knowledge of visualization tools will be an added advantage