Description

Key Responsibilities

• Collaborate with business stakeholders to gather, analyze, and document business and data requirements.
• Perform detailed source system analysis to understand data structures, relationships, and quality.
• Develop comprehensive Source-to-Target Mapping (STTM) documents for data migration and integration projects.
• Analyze complex datasets using advanced SQL to identify trends, anomalies, and business insights.
• Document business rules, transformation logic, and data validation requirements.
• Work closely with actuarial, underwriting, and business teams to understand insurance data models and reporting needs.
• Support data reconciliation, data validation, and quality assurance activities.
• Participate in data governance initiatives including metadata management, data lineage, and data quality improvements.
• Collaborate with Data Engineering teams supporting Azure and Databricks-based data platforms.
• Create functional specifications and support UAT by validating business requirements and data accuracy.
• Facilitate stakeholder meetings and effectively communicate project status, risks, and recommendations.

Required Qualifications

• Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, Actuarial Science, Business, or a related field.
• 10 12+ years of experience as a Data Analyst or Business/Data Analyst.
• Strong experience with:
  • Requirements gathering and business analysis
  • Source data analysis
  • Source-to-Target Mapping (STTM)
  • Business rule documentation
  • Data reconciliation and validation
  • Stakeholder management
• Advanced SQL skills for complex querying, analysis, and data validation.
• Hands-on experience in the Insurance industry, preferably within:
  • Actuarial
  • Underwriting
  • Broker data
• Strong analytical and problem-solving abilities.
• Excellent communication and documentation skills.

Preferred Qualifications

• Hands-on actuarial experience.
• Strong understanding of Property & Casualty and/or Life Insurance data.
• Experience working with underwriting and broker datasets.
• Familiarity with Databricks and Microsoft Azure data platforms.
• Exposure to data governance frameworks, metadata management, and data lineage.
• Experience supporting enterprise reporting and analytics initiatives.
• Knowledge of ETL processes and data integration concepts.
• Experience working in Agile/Scrum environments.

Technical Skills

• SQL (Advanced)
• Data Analysis
• Source-to-Target Mapping (STTM)
• Business Requirements Documentation
• Data Reconciliation
• Data Validation
• Databricks (Preferred)
• Microsoft Azure (Preferred)
• Data Governance
• Reporting & Analytics
• Excel (Advanced)

Domain Expertise

• Insurance
• Actuarial
• Underwriting
• Broker Data
• Risk & Financial Data

Key Skills

Education

Bachelor's degree