Top Senior Level Insurance Data & Analytics Jobs in New York City, NY

The role involves developing and enhancing actuarial models using Prophet, testing, documentation, and collaboration with multiple departments to improve financial reporting processes.

Lead the Customer Analytics team to drive business growth through customer insights and analytics. Collaborate with cross-functional teams to design data-driven strategies and ensure analytics rigor. Manage talent and promote a culture of insightfulness within the team.

As a Senior Analytics Engineer, you will design and maintain reliable data pipelines, improve data workflows, and mentor teammates to influence analytics practices at Spark.

As a Staff Data Engineer, lead the technical roadmap for data infrastructure, manage complex data architectures, and mentor engineers while driving the organization's data platform innovations.

The Market Risk Analyst will monitor SBL lines of credit, assess market risks, manage collateral, develop risk models, and prepare reports.

The Senior Data Engineer will architect, build, and maintain scalable data pipelines and infrastructure, mentor junior engineers, and collaborate on data solutions for Openly's insurance platform.

Lead design and implementation of scalable, HIPAA-compliant data pipelines and platforms for healthcare ML. Build ETL, orchestration, and tooling for processing EHR, claims, pharmacy, and bioinformatics data; collaborate with data scientists to produce modeling-ready datasets and ensure data quality, reliability, and operational excellence.

The Assistant Manager will lead data governance and analytics initiatives, overseeing the data warehouse infrastructure, analytics processes, and ensuring compliance and quality in data management.

Manage catastrophe portfolios using advanced statistical modeling and analytics. Develop solutions to optimize risk profiles and create impactful visuals for decision-making.

The Business Information Management Specialist will oversee data management activities, ensure accurate metadata and lineage, and support data governance across the organization.