Business Data Analyst

Role: Business Data Analyst with Property & Casualty (P&C) Insurance Claims domain

Location: Jersey City, NJ (hybrid - 3 days on-site and 2 days' work from home)

Duration: Full Time

Experience: 8+ Years

In-Person Interview must

If the following job requirements and experience match your skills, please ensure you apply promptly.

Job Summary:

• We are seeking a Business Data Analyst with a strong background in large-scale data applications, data analysis, and transformation to support enterprise-level initiatives in the Property & Casualty (P&C) Insurance domain. The ideal candidate will bring hands-on expertise in SQL, data mapping, and business analysis, along with deep domain knowledge of policy and claims data. This role requires close collaboration with business stakeholders, SMEs, and technical teams to drive data accuracy, consistency, and values.

Key Responsibilities:

• Perform end-to-end data analysis, including data profiling, validation, and transformation for large-scale data integration and reporting projects.
• Develop source-to-target data mappings (STTM) and documentation based on business requirements.
• Collaborate with business users and stakeholders to gather, analyze, and translate functional requirements into technical specifications.
• Work with data engineers and developers to implement and validate data consolidation, standardization, and transformation logic
• Optimize complex SQL queries for performance and accuracy in handling large database
• Participate in data quality assessments and recommend data cleansing or enrichment strategies
• Leverage domain knowledge of Property & Casualty Insurance—including policy administration and claims lifecycle—to ensure data alignment with business processes.
• Facilitate communication between business SMEs, data modelers, and technical teams for successful data delivery and adoption.

Required Skills & Experience:

• 5+ years of hands-on experience in data analysis, data mapping, and data transformation within enterprise data environments. xhyhwjd
• Strong proficiency in SQL, including analytical functions, query optimization, and performance tuning
• Proven experience developing source-to-target mapping (STTM) documents and understanding ETL/data flow processes.