P&C Data Analyst — Claims & Policy Data (Hybrid)

Wise Skulls Corp.

Jersey City (NJ)

Hybrid

USD 90,000 - 130,000

Full time

5 days ago
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Job summary

Wise Skulls Corp. in Jersey City, NJ (Hybrid 3 a week) is seeking a Business Data Analyst with deep expertise in large-scale data applications, data analysis, and transformation to support enterprise initiatives in the Property & Casualty Insurance domain.

The role emphasizes SQL, data mapping, and business analysis, with close collaboration with stakeholders, SMEs, and technical teams. The ideal candidate will bring hands-on experience in policy and claims data, data accuracy, and data delivery

Qualifications

  • 5+ years of hands-on data analysis, mapping, and transformation in enterprise environments.
  • Strong SQL proficiency with analytics functions and performance tuning.
  • Experience developing STTM documents and understanding ETL/data flows.

Responsibilities

  • Perform end-to-end data analysis, including profiling, validation, and transformation for large-scale data projects.
  • Develop source-to-target data mappings (STTM) and documentation from business requirements.
  • Translate functional requirements into technical specifications with stakeholders.
  • Collaborate with data engineers and developers to implement data consolidation and standardization.
  • Optimize complex SQL queries for performance and accuracy on large databases.
  • Participate in data quality assessments and propose cleansing or enrichment strategies.
  • Apply P&C insurance domain knowledge to align data with business processes.

Skills

SQL
Data analysis
Data mapping
Data transformation
Business analysis

Job description

Wise Skulls Corp. in Jersey City, NJ (Hybrid 3 a week) is seeking a Business Data Analyst with deep expertise in large-scale data applications, data analysis, and transformation to support enterprise initiatives in the Property & Casualty Insurance domain.

The role emphasizes SQL, data mapping, and business analysis, with close collaboration with stakeholders, SMEs, and technical teams. The ideal candidate will bring hands-on experience in policy and claims data, data accuracy, and data delivery

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