Top Data & Analytics Jobs in Hartford, CT

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.

The role involves analyzing report requirements, designing and developing reports using SQL and SSRS, and supporting data integrity issues. It requires strong analytical skills and communication with users to meet reporting needs.

The IT Business Analyst will analyze business data, develop reports, create dashboards, validate data quality, and support data warehouse initiatives.

The Data Modeler will focus on dimensional and operational modeling, data dictionary mapping, XML schema design, and liaising with clients. They will work on data profiling and utilize modeling tools while managing data artifacts and collaborating with external teams.

Lead enterprise reporting and data strategy and delivery across data engineering, BI, actuarial and reinsurance domains. Own data platform architecture (Snowflake, Azure, Databricks), governance, compliance, and vendor relationships. Drive agile teams, ensure audit-ready reporting, enable AI/ML modernization, and engage SVP stakeholders to align priorities and outcomes while mentoring technical leaders and ensuring operational stability.

The role entails designing Tableau dashboards, analyzing data from various sources, and translating findings into actionable insights for clients in a contact center environment.

Develop, maintain, and optimize Power BI dashboards and paginated reports; integrate and model data from enterprise systems (Maximo, P6, PowerPlan, Workday, iTOA, Cascade); maintain SQL views, stored procedures and ETL pipelines; automate reporting with Python, Power Automate, and Excel VBA; deliver recurring and ad-hoc operational reports; engage stakeholders to gather requirements, validate data, document processes, and provide end-user training and support.

The Assistant Professor of Natural Science teaches courses, develops curricula, assesses student performance, engages in professional development, and conducts scholarly work.

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 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.