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Business Data Analyst

Actively Reviewing the Applications

CSM Technologies

India, Bhubaneswar, Odisha Full-Time On-site INR 8–40 LPA
Posted 3 weeks ago Apply by May 4, 2026

Job Description

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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