Role: Business Data Analyst – P&C Insurance
Location: Jersey City
Domain: P&C Insurance domain
Mandatory Skill: SQL
NOTE:
· We require a Business Data Analyst (BDA) with strong technical expertise and hands-on experience in SQL. The candidate must have prior experience in the Insurance domain, specifically within Property & Casualty (P&C) Insurance.
· Please note that both technical SQL expertise and P&C Insurance domain experience are mandatory. Kindly do not submit any candidates who do not meet these requirements.
Role: Job Summary
We are seeking a senior Business Data Analyst with strong experience in enterprise data analysis, transformation, and large-scale data platforms within the Property & Casualty Insurance domain. This role operates as a lead-level liaison between Data Engineers, Actuaries, and Business Stakeholders, supporting data-driven initiatives with a focus on accuracy, consistency, and business alignment.
Key Responsibilities
· Perform end-to-end data analysis, including data profiling, validation, and transformation for enterprise data initiatives.
· Develop and maintain Source-to-Target Mapping (STTM), Business Requirements (BRD), and data analysis documentation.
· Act as a primary coordinator between data engineers and actuaries, supporting planning, prioritization, and delivery.
· Collaborate with data engineers to implement and validate data consolidation and transformation logic, primarily on Snowflake.
· Write and optimize complex SQL queries to support analytics and reporting on large datasets.
· Apply P&C insurance domain knowledge (policy and claims lifecycle) to ensure data aligns with business and actuarial needs.
· Participate in SDLC activities, including requirements gathering, design reviews, testing support, and production readiness.
Required Skills & Experience
· 5+ years of experience in business/data analysis within enterprise data environments.
· Strong proficiency in SQL and experience with Snowflake (required).
· Proven experience creating STTM, BRD, and data analysis documentation.
· Solid understanding of ETL/ELT processes and data transformation concepts.
· In-depth knowledge of Property & Casualty Insurance, including policy and claims data.
· Strong communication and coordination skills, with experience acting as a liaison between technical and business teams.
· Good understanding of SDLC and enterprise data delivery processes
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