

CSM Technologies
Senior Business Data Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Business Data Analyst with 5+ years of experience in enterprise data analysis within the Property & Casualty Insurance domain. Contract length is unspecified, with a focus on SQL, Snowflake, and data transformation.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
February 14, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
New Jersey, United States
-
🧠 - Skills detailed
#SQL Queries #Snowflake #Documentation #Datasets #Data Engineering #Requirements Gathering #"ETL (Extract #Transform #Load)" #Data Analysis #SQL (Structured Query Language) #Data Profiling
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.






