Top Remote Analysis Reporting Jobs in Hartford, CT

As the first in-house Data Engineer, you will own the data infrastructure, build and maintain data pipelines, and collaborate with teams to ensure quality data access and insights.

The Data Analyst in Revenue Operations will analyze sales data, build models, and create reports using SQL, Excel, and BI tools to empower business decisions.

The Senior Digital Marketing Analyst develops strategies for digital engagement, analyzes campaign data, builds dashboards, and collaborates with teams to enhance marketing efforts and customer experience in healthcare.

The Senior Manager-Quality Engineering & Automation will lead quality engineering practices, oversee testing frameworks, manage teams, and promote automation and quality excellence in software delivery.

As a Senior Commercial Insurance Analyst, you'll perform complex analyses on data to drive business performance and risk outcomes. You'll collaborate with various teams, generate actionable insights, and mentor junior analysts, all while fostering a data-driven culture and improving operational efficiency.

The Assistant Director & Associate Actuary analyzes and evaluates actuarial pricing performance and develops state performance metrics. They communicate findings, create analytical tools, and enhance partnerships with various teams to improve organizational capabilities.

The Senior Technical Analyst collaborates with stakeholders and engineers to document requirements, ensure quality, and support SDLC activities, while being a trusted advisor on solution design and process impacts.

The Central Risk Manager is responsible for developing and implementing strategies for Risk-Based Quality Management and Monitoring across clinical trials, collaborating with stakeholders, and leveraging data analytics for risk identification and mitigation.

The AVP will enhance Claims Data Solutions by collaborating with teams, analyze claims data, support AI/ML initiatives, and deliver insights for decision-making.

Lead advanced analytics and informatics work to develop predictive models, optimize programs, and build financial/operational models. Translate complex data into actionable insights for stakeholders and senior leadership, influence departmental strategy, and independently design analytical approaches to improve consumer/member experiences and drive measurable business outcomes.