
Sr. Data Analyst - Data Model Regulatory
Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr. Data Analyst - Data Model Regulatory based in the United States.
This role sits at the core of a fast-growing, data-driven organization where analytics directly shapes product development, operational efficiency, and intelligent automation within the claims ecosystem. You will be responsible for building and evolving the foundational data model that powers reporting, analytics, and machine-driven decision-making. Working closely with engineering, product, and operations teams, you will translate complex claims workflows into structured, reliable, and scalable data systems. This is a highly technical and collaborative role requiring strong analytical thinking, precision, and the ability to bridge business context with data architecture. You will contribute directly to the development of a modern semantic layer that enables deeper insights and automation across the organization. The environment is fast-paced, experimental, and highly iterative, with significant influence on both technical direction and data strategy. It is ideal for someone who enjoys solving ambiguous problems and shaping data systems from the ground up.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr. Data Analyst - Data Model Regulatory based in the United States.
This role sits at the core of a fast-growing, data-driven organization where analytics directly shapes product development, operational efficiency, and intelligent automation within the claims ecosystem. You will be responsible for building and evolving the foundational data model that powers reporting, analytics, and machine-driven decision-making. Working closely with engineering, product, and operations teams, you will translate complex claims workflows into structured, reliable, and scalable data systems. This is a highly technical and collaborative role requiring strong analytical thinking, precision, and the ability to bridge business context with data architecture. You will contribute directly to the development of a modern semantic layer that enables deeper insights and automation across the organization. The environment is fast-paced, experimental, and highly iterative, with significant influence on both technical direction and data strategy. It is ideal for someone who enjoys solving ambiguous problems and shaping data systems from the ground up.