Top Data & Analytics Jobs in Hartford, CT

The role involves analyzing CRM and digital data to optimize omnichannel performance, creating dashboards, and supporting strategic decision-making.

The Analyst - Actuarial will create and maintain actuarial models, provide insights to management, develop analyses, and stay updated with industry standards. They will also participate in a rotation program gaining diverse actuarial experience.

The Data Integration Engineer will manage data integrations and ETL processes for healthcare data, ensuring accuracy and accessibility for business users.

The role involves analyzing large datasets, building models, automating reporting processes, and supporting actuarial analyses for insurance projects.

Lead a Supply Chain Analytics center of excellence to deliver analytics, BI reporting, data pipelines, and dashboards. Manage cross-functional projects, mentor analysts and contractors, define data improvement roadmaps, and enable data-driven supply chain planning decisions.

Lead Southern California risk, actuarial, and analytics strategy for employee benefits. Serve as market-facing advisor, drive client retention and growth, oversee advanced modeling (funding, stop-loss, forecasting), lead analytics team, scale delivery, and partner with national centers of excellence to align tools and execution.

The Lead Supply Chain Economics Analyst provides analytics support and insights to senior leadership, develops revenue performance metrics, and collaborates with partners to enhance pharmacy network strategies using advanced analytics and AI technologies.

The Commercial Insurance Analytics Consultant leads analytical initiatives for commercial insurance, evaluates trends and risks, and makes recommendations to senior leadership while mentoring less experienced analysts.

The role involves entering data into databases, ensuring accuracy, performing document scanning, and generating reports. Attention to detail and following data entry procedures are crucial.

Lead Tableau data visualization strategy: design and optimize high-performance dashboards, establish governance and best practices, mentor teams, enable adoption, and partner with data teams for robust models and performance.