What are the responsibilities and job description for the Business Data Systems Analyst position at InSource, Inc?
Business Data Systems Analyst
Warren, NJ
12 months contract (with potential for extension and/or full-time hire).
Hybrid (2-3 days/week) for the first 1-2 months, then remote.
***LOCAL CANDIDATES ONLY***
MUST HAVE WORKING EXPERIENCE IN PROPERTY & CASUALTY INSURANCE DOMAIN
If interested, send resume to: aghosh@copiastaffing.com
POSITION OVERVIEW
We are seeking a Business Data Analyst with a background in large-scale data applications, data analysis, and transformation to support enterprise-level initiatives in the Property and 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 value.
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 datasets.
- 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.
- Exposure to data consolidation, standardization, and transformation across heterogeneous data sources.
- In-depth knowledge of the Property & Casualty Insurance domain,
- Exceptional communication and interpersonal skills—able to work effectively with technical teams, business stakeholders, and subject matter experts.
- Strong documentation skills with the ability to create clear and concise technical and business art.