CSM Technologies

Business Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Business Data Analyst with 5+ years of experience in data analysis and transformation in the Property & Casualty Insurance domain. Contract length is "unknown," with a pay rate of "$XX/hour." Remote work is available. Key skills include SQL, data mapping, and business analysis.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
520
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🗓️ - Date
January 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
Dallas, TX
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🧠 - Skills detailed
#Data Cleansing #"ETL (Extract #Transform #Load)" #Data Profiling #Data Engineering #Documentation #SQL (Structured Query Language) #Data Integration #Business Analysis #SQL Queries #Data Quality #Data Accuracy #Data Mapping #Data Analysis #Datasets
Role description
Job Summary: We are seeking a Business Data Analyst with a strong background in large-scale data applications, data analysis, and transformation to support enterprise-level initiatives in the Property & Casualty (P&C) Insurance domain. The ideal candidate will bring hands-on expertise in SQL, data mapping, and business analysis, along with deep domain knowledge of policy and claims data. This role requires close collaboration with business stakeholders, SMEs, and technical teams to drive data accuracy, consistency, and value. Key Responsibilities: • Perform end-to-end data analysis, including data profiling, validation, and transformation for large-scale data integration and reporting projects. • Develop source-to-target data mappings (STTM) and documentation based on business requirements. • Collaborate with business users and stakeholders to gather, analyze, and translate functional requirements into technical specifications. • Work with data engineers and developers to implement and validate data consolidation, standardization, and transformation logic. • Optimize complex SQL queries for performance and accuracy in handling large datasets. • Participate in data quality assessments and recommend data cleansing or enrichment strategies. • Leverage domain knowledge of Property & Casualty Insurance—including policy administration and claims lifecycle—to ensure data alignment with business processes. • Facilitate communication between business SMEs, data modelers, and technical teams for successful data delivery and adoption. Required Skills & Experience: • 5+ years of hands-on experience in data analysis, data mapping, and data transformation within enterprise data environments. • Strong proficiency in SQL, including analytical functions, query optimization, and performance tuning. • Proven experience developing source-to-target mapping (STTM) documents and understanding ETL/data flow processes. • Exposure to data consolidation, standardization, and transformation across heterogeneous data sources. • In-depth knowledge of the Property & Casualty Insurance domain, • Exceptional communication and interpersonal skills—able to work effectively with technical teams, business stakeholders, and subject matter experts. • Strong documentation skills with the ability to create clear and concise technical and business art