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

The Lead Data Engineer will design and build scalable data pipelines on Databricks, develop ETL/ELT pipelines with PySpark, and mentor engineering teams for data transformation and analytics.

The Director, Workforce Analytics leads the workforce analytics function, transforming data into insights to optimize talent strategy and support organizational goals through analytics and reporting.

As a Data Analyst, you will build and maintain data pipelines, ensure data integrity for financial reporting, and create analytical tools to support finance operations.

The Data Analyst Intern supports AI initiatives by handling data management, exploratory analysis, AI model support, and creating visualizations to drive actionable insights.

The Manager of Business Intelligence leads Salesforce administration, reporting strategy, and analytics solutions, overseeing a team and working closely with stakeholders to drive decision-making and operational efficiency.

The Analyst focuses on automating reserving reporting processes, developing tools and data workflows, and ensuring data quality. Responsibilities include process improvement, tool maintenance, and collaboration with teams on reporting needs.

The Actuarial Analyst role involves supporting pricing and analytical capabilities, conducting profitability analyses, and collaborating with underwriting teams to inform strategic business decisions.

The Senior Data Engineer will build scalable data infrastructure, maintain pipelines, ensure data quality, and collaborate with various teams to support data-driven decisions.

As an Actuarial Data Scientist, you will develop and deploy commercial auto pricing models, collaborate with actuaries and underwriters, design feature pipelines, and communicate findings effectively. This role requires strong statistical skills and experience with predictive modeling in insurance.

Design and build data pipelines and infrastructure; maintain data quality and accessibility; optimize data warehouse architecture while collaborating with teams to meet data needs.