Senior Data Analyst (P&C Insurance) | SQL & ETL Expert

EXL

Jersey City (NJ)

Hybrid

USD 120,000 - 150,000

Full time

21 hours ago
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Job summary

EXL in Jersey City, NJ is seeking a Business Data Analyst with a strong background in large-scale data applications, data analysis and transformation to support enterprise initiatives in the Property & Casualty (P&C) Insurance domain.

The role requires hands-on SQL expertise, data mapping, and business analysis, with collaboration across stakeholders, SMEs, and technical teams to ensure data accuracy and alignment with business processes.

Qualifications

  • Hands-on experience with data analysis, mapping and transformation in enterprise data environments.
  • Proficiency in SQL, including analytical functions, query optimization and performance tuning.
  • Experience developing STTM documents and understanding ETL/data flow processes.

Responsibilities

  • Perform end-to-end data analysis, including 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 to translate requirements into technical specs.
  • Work with data engineers to implement data consolidation, standardization and transformation logic.
  • Optimize complex SQL queries for performance and accuracy with large databases.
  • Participate in data quality assessments and recommend cleansing or enrichment strategies.
  • Leverage P&C domain knowledge to align data with business processes.
  • Facilitate communication between SMEs, data modelers and technical teams for successful data delivery.

Skills

SQL
Data analysis
Data mapping
Data transformation

Job description

EXL in Jersey City, NJ is seeking a Business Data Analyst with a strong background in large-scale data applications, data analysis and transformation to support enterprise initiatives in the Property & Casualty (P&C) Insurance domain.

The role requires hands-on SQL expertise, data mapping, and business analysis, with collaboration across stakeholders, SMEs, and technical teams to ensure data accuracy and alignment with business processes.

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