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Senior Data Analyst

Job in Edison, Middlesex County, New Jersey, 08818, USA
Listing for: O2 Technologies,Inc
Full Time position
Listed on 2026-06-06
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst, Data Science Manager, Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

About the Role

Technical Data Analyst ( Must have Insurance /Reinsurance experience) Everest Insurance Company Warren NJ - 3 days office 72-77/hr

Qualifications
  • 5-7 years of experience as a Data Analyst or similar role in the P&C insurance industry
  • Solid knowledge of the P&C insurance domain particularly policy & claims management systems
  • Proven experience in data analysis, business intelligence, or related roles.
  • Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R, etc.).
  • Strong with complex SQL queries
  • Experience with Agile methodologies and tools (e.g., Jira, Confluence).
  • Candidate should be able to gather requirements from business stakeholders.
  • Analyze existing data within the application and data systems.
  • Identify data source and target. Strong in Source to Target mapping
  • Determine the necessary mapping and transformation needed.
  • Document/explain these requirements to IT delivery team to implement such transformation process in Lumina Data Platform
  • Interpreting data, analyzing results, and providing actionable insights
  • Provide decision-support through ad-hoc analysis, data profiling etc.
  • Validate data accuracy, completeness and integrity of the data in the source systems
Key Responsibilities & Skills
  • P&C Insurance Policy & Claims Management
  • Business Requirements Gathering
  • Source-to-Target Data Mapping
  • Data Transformation Design
  • Data Quality Validation & Integrity
  • Decision Support & Ad-hoc Analysis
  • Data Profiling
  • Stakeholder Collaboration (Agile)
  • Complex SQL Query Development
Technical Skills
  • SQL (Complex Queries)
  • Python
  • R
  • Jira / Confluence (Agile Tools)
  • Lumina Data Platform
  • Data Modeling & ETL Design
Education

Bachelor's Degree in Data Science, Statistics, Computer Science, Business Analytics, Finance, Insurance. Preferred:
Master's in Data Science, Master's in Business Analytics, MBA, Master's in Insurance.

Industry Experience
  • Property & Casualty (P&C) Insurance
  • Reinsurance
  • Policy & Claims Management Systems
  • Insurance Data Analytics
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Position Requirements
10+ Years work experience
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