Why This Role Stands Out
Leverage your deep P&C insurance claims expertise to drive impactful data analysis and transformation initiatives in a hybrid environment at Wise Skulls Corp. This mid-senior role offers excellent growth potential for analytical professionals skilled in SQL and data mapping who thrive on collaborating with diverse teams to ensure data accuracy and value.
Quick Overview
Job Description
Title: Business Data Analyst (P&C) Insurance Claims
Location: Jersey City, NJ (Hybrid 3 a week)
Duration: 6 months +
JD:
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.
Total Experience: 8 Years +
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.
- 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.
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