Insurance Data Analyst with P&C Domain

Derex Technologies IncJersey City, NJ
Hybrid

About The Position

Derex Technologies Inc is seeking an experienced Insurance Data Analyst with P&C Domain expertise for a long-term contract role. The position is based in NJ, NY, or PA and offers an Onsite/Hybrid work model. The role involves analyzing insurance data, understanding P&C insurance processes, and collaborating with various teams to deliver insights and solutions.

Requirements

  • Bachelor’s or Master’s degree in Computer Science or related field.
  • 10-12 years of overall work experience.
  • At least 4+ years of hands-on experience in P&C Insurance domain as a Data Analyst.
  • In-depth knowledge of P&C insurance processes, products, regulations, and claims workflows.
  • Knowledge of underwriting, policy management, claims, reinsurance, and actuarial functions.
  • Experience in applications such as Guidewire / Duck Creek / Sapiens / Salesforce or equivalent for implementing insurance solutions or integrating source into a Data Lake / Data warehouse solution.
  • Proficiency in Business Intelligence / Analytics use case analysis, source system analysis, and data quality assessment.
  • Advanced proficiency in tools such as SQL, Microsoft Excel, and visualization tools (e.g., Power BI or Tableau).
  • Experience in coordinating/collaborating with on-shore and off-shore teams for solution definition.
  • Experience with tools like SQL, Excel, or Power BI to discover, analyze and interpret insurance data.
  • Strong experience in Agile Process and Azure DevOps.
  • Excellent documentation, communication and presentation skills.

Responsibilities

  • Analyze insurance data to provide insights.
  • Perform source system analysis.
  • Conduct data modelling.
  • Assess data quality.
  • Analyze Business Intelligence/Analytics use cases.
  • Gather requirements for ETL/BI.
  • Coordinate and collaborate with on-shore and off-shore teams for solution definition.
  • Discover, analyze, and interpret insurance data using tools like SQL, Excel, or Power BI.
  • Document, communicate, and present findings.
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