Top Data & Analytics Jobs in Hartford, CT

Manage reserving and loss analytics in insurance by collaborating with underwriting and pricing, providing insights, and leading projects.

The AMI Analyst resolves exceptions in the Meter Data Management System, analyzes meter data issues, collaborates with teams, and suggests improvements.

The Senior Analyst will support payment integrity disputes, investigate solutions, collaborate cross-functionally, and improve processes in claims operations.

Perform hands-on data cleansing, linking, validation, and standardization; monitor and report data quality metrics; identify recurring issues and recommend process or automation improvements; organize and streamline workflows; maintain documentation and data standards; test and provide feedback on tools and AI-assisted features; serve as a point of contact for data integrity questions.

The Senior Analyst, People Analytics analyzes workforce data, translates business questions into KPIs, and collaborates with various teams to deliver insights and reporting solutions.

The Facets Systems Analyst will perform development and maintenance tasks in Facets, lead a team of developers, and ensure quality outcomes through testing methodologies while maintaining compliance with healthcare standards.

This role involves defining data platform standards and integration patterns, mentoring engineers, and maintaining best practices in Azure and Databricks environments. The lead will ensure efficient data management and governance across global teams while advocating for DataOps and CI/CD practices.

Participate in a rotation program gaining exposure to actuarial roles while creating models, conducting analyses, and advising management on life and health products.

The VP of Salesforce & Marketing Technology leads the strategy and execution of Salesforce and marketing technologies, ensuring integration and compliance to enhance customer engagement and business outcomes.

The Business Intelligence Manager will lead enterprise analytics, design data models, integrate systems, standardize KPIs, and enhance decision-making through analytics.