Top Data & Analytics Jobs in Hartford, CT

Lead enterprise-wide data governance and stewardship for commercial, operational, and administrative data. Build and manage a matrixed team of data stewards, implement MDM strategies and governance frameworks, ensure data quality and compliance (GDPR/CCPA), partner with stakeholders to enable analytics and business decision-making, and optimize governance tools and processes.

Manage a global analytics case queue and fulfill reporting, order management, and ad hoc analysis requests. Build and maintain data models, Salesforce and Gong dashboards, and performance scorecards. Support sales compensation, incentive validation, quota goal sheets, territory management, pipeline health checks, and data integrity. Partner with Sales Operations, Finance, leadership, and field teams to ensure accurate, actionable reporting and timely commission processing.

Data Engineer Intern supporting data pipelines, workflows, transformations, quality monitoring, and cloud-based data platforms. The intern will help prepare structured and unstructured data for analytics, reporting, automation, machine learning, and AI solutions. Responsibilities include collaborating with cross-functional teams, applying Python and SQL-based engineering techniques, validating data, and using AI tools to improve productivity. The role provides mentorship and hands-on experience within The Hartford’s technology and data organization.

Leads people, strategy, and delivery for scalable data and analytics products supporting healthcare and life sciences compliance, operations, and executive decision-making. Owns data foundations, pipelines, governance, cloud platforms, dashboards, and AI-enabled capabilities. Manages multi-workstream programs, stakeholder relationships, client outcomes, RFPs, demos, and practice growth while driving modernization, data quality, security, and measurable business impact.

Analyze and report on agency, advertiser, sport, and product revenue trends. Produce recurring and ad-hoc analytics and financial reports, present insights to stakeholders, quality-control datasets, and recommend strategies to maximize ad sales revenue.

Support data and reporting needs by gathering specifications, creating data sets, operational reports, and dashboards. Collaborate with teams to translate business needs into requirements, test deliverables, analyze data for issues and opportunities, manage defects, and ensure quality and compliance throughout the data delivery lifecycle.

Perform data profiling, metadata documentation, lineage and transformation rule definition to support data quality and governance. Collaborate with business and IT to analyze data, create data models, test plans, and resolve data issues while applying ETL, integration, and cloud technologies to improve data availability and usability.

Lead quarterly execution of vendor CECL models by preparing loan data, coordinating with credit, data, IT and business teams, coding and maintaining data workflows, and developing/validating statistical and predictive models. Present results to committees and auditors, integrate structured and unstructured data, and collaborate on data pipelines and reporting to support strategic decision-making.

Lead engineering strategy and hands-on implementation for Finance & Actuarial data platforms. Architect no-touch automated data pipelines, drive cloud migrations (Azure Synapse/Databricks/Snowflake), embed AI-assisted development and modern DevOps, establish CI/CD and runbooks, resolve complex incidents, evaluate tooling, and mentor engineering squads while communicating strategy to executive stakeholders.

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