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Jersey City, NJ, USA
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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 artifacts.
Education
• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field
Bachelor's degree
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