Top Senior Data & Analytics Jobs in Hartford, CT

Design and maintain scalable HR data architecture in Snowflake; build and optimize ETL/ELT pipelines with Matillion; enforce data governance, quality, lineage and security; manage SQL Server metadata environments; implement DevOps for data assets; partner with stakeholders and support AI-ready semantics and reusable data products.

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.

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.

Lead a team of analytics professionals to design, build, and maintain strategic reporting, dashboards, and data models (Power BI, LMS, Maximo, Excel). Drive process improvements, data governance, quality assurance, long-term planning, and change management. Provide mentorship, documentation, and stakeholder-facing reporting to support productivity, regulatory needs, and resource planning.

Build modern data and AI analytics solutions using ThoughtSpot, Snowflake, semantic data layers, and governed data assets. Develop ETL processes, AI prompts, intelligent dashboards, and interactive analytics experiences for actuarial teams. Partner with business and analytics stakeholders to support pricing, reserving, underwriting, and portfolio decisions while surfacing trends, explaining business drivers, and enabling actionable recommendations.

Designs, builds, tests, and operationalizes scalable data solutions and pipelines across AWS, Databricks, Snowflake, and on-premises infrastructure. Responsibilities include data transformation, quality, governance, security, incident resolution, cloud resource optimization, and supporting AI, machine learning, and business intelligence. The role leads technical direction, establishes engineering standards, mentors a 20-person administration team, collaborates across teams, and guides delivery of complex data products.

Lead and grow customer analytics practice for Communications, Media & Technology clients. Define strategy, develop thought leadership, design analytics/CRM models, deliver large-scale engagements, and apply predictive analytics to drive client outcomes.

Validate and assure enterprise data quality across source systems, ETL/ELT pipelines, data warehouses, and reporting. Investigate production incidents, design test strategies and automated validation, perform regression and non-functional testing, analyze data quality metrics, support compliance/audit activities, and collaborate with engineering and business stakeholders to improve data governance and controls.

Lead enterprise data governance by partnering with IT, Data Owners, Data Stewards, and business stakeholders. Define and maintain Critical Data Elements, improve data quality, establish ownership and accountability, manage data quality monitoring, support reference data management, and facilitate issue resolution. The role also requires translating business objectives into data specifications and supporting governance and business transformation initiatives across a specialty insurance organization.

Support development and implementation of pricing strategies for small commercial P&C lines. Build rating plans, prepare rate filings, run profitability reviews, implement raters, perform GLM-based analyses, produce SQL-driven tools and dashboards, and present findings to stakeholders while partnering with underwriting, product, IT, and distribution teams.