Top Remote Data & Analytics Jobs in Hartford, CT

The Sr. Insurance Analyst analyzes complex data to support growth and profitability targets, evaluates market opportunities, and collaborates cross-functionally on insurance products.

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.

Perform data analyses and build visualizations to support distribution and sales planning. Drive distribution initiatives, improve processes, present findings to stakeholders, and support training and talent development.

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 Data Manager will execute analytics, manage data sourcing and dashboards, streamline reporting, and provide insights for business improvement and performance measurement.

The Senior Cloud FinOps Analyst will manage FinOps services, build analytics dashboards, improve cloud cost governance, and enhance operational efficiencies in a multi-cloud environment.

The role involves developing data solutions, analyzing data needs, managing projects, and supporting ETL processes. Collaboration with teams and user training are key responsibilities.

Lead technical transformation of Enterprise Operational Reporting, architect scalable analytics solutions, mentor analysts, and oversee DevOps practices.

The Impact Tracking Senior Specialist will design and implement impact measurement systems, engage stakeholders, analyze data, produce reports, and build internal capacity to demonstrate the real-world impact of Sand's programs.

The Data Engineering Lead is responsible for architecting scalable data systems, integrating ML models, and leading a technical team while optimizing performance and costs.