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Business Data Analyst Insurance Domain (P&C)

K-Tek Resourcing LLCJersey City, NJ🇺🇸United StatesPosted 28 Jul 2026

Quick Overview

Salary
€60/hr
Work Type
Hybrid
Level
Mid Senior

Job Description

Job Title: Business Data Analyst – Insurance Domain (P&C)

Location: Jersey City, NJ

Employment Type: Contract

Rate: $60/hr

Work Authorization: All Visas Accepted

Industry: Property & Casualty (P&C) Insurance

We are seeking an experienced Business Data Analyst with a strong background in large-scale data analysis, SQL, data mapping, and the Property & Casualty (P&C) Insurance domain. This role is ideal for professionals who can bridge the gap between business and technology by translating complex business requirements into high-quality data solutions.

The ideal candidate will possess hands-on expertise in SQL, Source-to-Target Mapping (STTM), data transformation, and insurance policy and claims data, while collaborating with business stakeholders, SMEs, data engineers, and technical teams to deliver enterprise data initiatives.

Top Required Skills:

  • SQL & Data Analysis

  • Source-to-Target Mapping (STTM) & Data Transformation

  • Property & Casualty (P&C) Insurance Domain

Key Responsibilities:

  • Perform end-to-end data analysis including data profiling, validation, transformation, and reconciliation for enterprise data initiatives.

  • Develop comprehensive Source-to-Target Mapping (STTM) documents based on business and technical requirements.

  • Gather, analyze, and document business requirements while translating them into functional and technical specifications.

  • Partner with Data Engineers and Developers to implement data consolidation, transformation, and standardization solutions.

  • Write, optimize, and tune complex SQL queries to support data validation and business reporting.

  • Conduct data quality assessments and recommend data cleansing and enrichment strategies.

  • Apply deep knowledge of Property & Casualty Insurance, including policy administration and claims lifecycle, to ensure business data accuracy.

  • Collaborate with business stakeholders, SMEs, data modelers, architects, and technical teams throughout the project lifecycle.

  • Prepare clear technical documentation, mapping documents, process flows, and business artifacts.

  • Support enterprise data migration, integration, and modernization initiatives while ensuring data integrity and consistency.

Required Qualifications:

  • 5+ years of experience in Data Analysis, Data Mapping, and Data Transformation within enterprise environments.

  • Strong proficiency in SQL including analytical functions, query optimization, and performance tuning.

  • Proven experience developing Source-to-Target Mapping (STTM) documentation.

  • Strong understanding of ETL processes and enterprise data flows.

  • Experience with data consolidation, standardization, transformation, and integration across multiple data sources.

  • In-depth knowledge of Property & Casualty (P&C) Insurance, including policy administration and claims data.

  • Excellent communication, stakeholder management, and business analysis skills.

  • Strong documentation skills with experience creating technical and business deliverables.

  • Ability to collaborate effectively with technical teams, business users, and subject matter experts.

Preferred Qualifications:

  • Experience supporting enterprise data warehouse or cloud data migration initiatives.

  • Familiarity with Agile/Scrum delivery methodologies.

  • Experience working with Data Engineers, Data Architects, and QA teams in large-scale enterprise environments.

  • Knowledge of data governance, metadata management, and data quality frameworks is a plus.

Education:

  • Bachelor''s degree in Computer Science, Information Systems, Engineering, or a related field.

If you are a skilled Business Data Analyst with strong SQL expertise and deep Property & Casualty Insurance domain knowledge, we''d love to hear from you. Apply today with your updated resume.

 

Skills

SQL
ETL
Scrum
Agile
Stakeholder Management

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