Business Data Analyst P&C Insurance

iShareJersey city, NJ
Hybrid

About The Position

We are seeking an experienced Business Data Analyst to support large-scale enterprise data initiatives within the Property and Casualty (P&C) Insurance domain. The ideal candidate will have strong hands-on experience with SQL, data analysis, data mapping, transformation, and source-to-target mapping. This role requires close collaboration with business stakeholders, subject-matter experts, data engineers, developers, and data modelers to ensure data accuracy, consistency, and alignment with policy and claims processes.

Requirements

  • 5+ years of experience in business data analysis, mapping, and transformation.
  • Strong SQL skills, including analytical functions, query optimization, and performance tuning.
  • Hands-on experience creating STTM documents.
  • Good understanding of ETL processes and enterprise data flows.
  • Experience consolidating and standardizing data from multiple sources.
  • Strong knowledge of the P&C Insurance domain, including policy and claims data.
  • Excellent stakeholder-management, communication, analytical, and documentation skills.
  • Ability to work onsite in Jersey City 3–4 days per week.

Responsibilities

  • Perform data profiling, analysis, validation, and transformation for enterprise data integration and reporting projects.
  • Create source-to-target mapping (STTM) documents based on business and technical requirements.
  • Gather and translate business requirements into functional and technical specifications.
  • Partner with data engineers to implement and validate data consolidation, standardization, and transformation rules.
  • Develop and optimize complex SQL queries for large datasets.
  • Conduct data-quality assessments and recommend cleansing and enrichment strategies.
  • Apply P&C Insurance knowledge across policy administration and claims lifecycles.
  • Coordinate with business SMEs, data modelers, and technical teams to support successful data delivery.
  • Prepare clear business requirements, mapping documents, data dictionaries, and technical documentation.

Benefits

  • Flexible work from home options available.
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