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Business Data Analyst (Property & Casualty Insurance Domain) - Onsite in Jersy City, NJ

Oncorreinc · Jersey City, NJ

Spotted 5d agoContract

Job details

Work mode
On-site
Employment
Contract
Level
Senior
Experience
5+ years
Posted
Oct 6, 2026
Last confirmed open
Oct 6, 2026
Job description

About this role

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 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, analyse, 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.

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