Data Analyst

Data Fitch is a Unified Data Analytics platform that simplifies data access, automates manual processes, and ensures enterprise‑grade scalability, security, and compliance. We enable organizations to make their data analytics‑ready, accelerate AI adoption, and empower teams to make confident, data‑driven decisions. Our no‑code platform helps users clean, combine, and understand their data quickly and efficiently. With integrated data quality, governance, and advanced AI/ML capabilities, Data Fitch transforms complex data ecosystems into clear, actionable insights that drive strategic business outcomes.

We excel at integrating diverse data sources, enforcing strong governance, and delivering real‑time analytics that reveal hidden patterns—helping organizations solve complex challenges and unlock new opportunities. 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.

• 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.

• Masters in Engineering
• 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