Top Senior Analysis Reporting Jobs in Hartford, CT

Performs complex commercial insurance data analysis, develops business recommendations, improves reporting processes, communicates insights to partners and senior management, and supports strategic initiatives. The role requires strong statistical, analytical, coding, and data visualization skills, along with insurance knowledge, cross-functional collaboration, mentorship, and occasional travel.

Build and maintain P&C actuarial pricing models and indication reports; refine pricing methodologies; analyze large datasets; automate workflows with Python, SQL, and Excel; create dashboards and presentations; collaborate with underwriters, claims, program teams, and reinsurers; and drive process and methodology improvements.

Lead design, development, and migration of enterprise SAP BW solutions to SAP Datasphere; architect hybrid data flows with Microsoft Fabric and Azure Synapse; integrate BW with Salesforce and SQL Server; embed AI (Copilot, Azure OpenAI) into analytics; manage deliverables, mentor offshore teams, enforce standards, and ensure data integrity and performance for reporting and analytics.

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.

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.

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.

The role focuses on developing product-specific analytics strategies, managing projects, and collaborating across teams to integrate analytics into business processes. Expect project prioritization, data analysis, and communication of findings to stakeholders.