

CSM Technologies
Business Data Analyst – P&C Insurance
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Business Data Analyst – P&C Insurance, offering a contract length of "unknown" at a pay rate of "unknown," requiring 5+ years of experience in enterprise data analysis, strong SQL proficiency, and knowledge of the Property & Casualty Insurance domain.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 22, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
New Jersey, United States
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🧠 - Skills detailed
#Data Profiling #Data Analysis #SQL Queries #Requirements Gathering #Data Engineering #"ETL (Extract #Transform #Load)" #Snowflake #SQL (Structured Query Language) #Datasets #Documentation
Role 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.
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.






