Business Analyst

• 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 

• 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.

• 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 artifacts.