Top Senior Analysis Reporting Jobs in Hartford, CT

The Senior Data Analyst oversees performance reporting tools, automates data pipelines, conducts quantitative analyses, and communicates findings to various stakeholders.

The Director, Research - Power Markets is responsible for leading the QA/QC process for long-term forecasting, advising leadership, and ensuring market insights are effectively integrated into forecasts.

Design, build, and optimize Snowflake-based data platform: develop ELT pipelines, data models, governance, security, performance tuning, cost optimization, CI/CD, and advanced Snowflake features. Collaborate with stakeholders, mentor engineers, and deliver scalable data solutions for analytics.

Design and build data warehouse architecture, develop ETL/ELT pipelines, implement data governance, and partner with teams to improve data systems.

The Data Analyst in Revenue Operations will analyze sales data, build models, and create reports using SQL, Excel, and BI tools to empower business decisions.

Lead measurement and insights strategies across B2B client programs. Analyze earned/social/web data, conduct secondary research, build measurement frameworks and dashboards, deliver client-facing recommendations, mentor junior staff, and advance agency analytics capabilities.

Join an Agile Scrum team to define, scope, and certify domain-level data products (quote, policy, premium, loss). Perform end-to-end business/data analysis, stakeholder liaison, data stewardship, use GenAI and Big Data tools for mapping and profiling, ensure data quality and governance, and support delivery of analytics and the product (data asset) roadmap.

Design and implement automated, data-driven compliance monitoring, analytics, and reporting solutions. Lead process improvements, AI-enabled detection, metric governance (EPIs/KRIs/KPIs), and produce defensible reports for senior management and regulators. Partner with Legal, ERM, Audit, Technology, and business stakeholders to ensure data governance, controls, and regulatory adherence.

Lead and govern the enterprise common data model across conceptual, logical, and physical layers. Define modeling standards and metadata, resolve semantic conflicts, collaborate with architects and SMEs, integrate data across ERP/PLM/MES/MRO/IoT/analytics platforms, ensure compliance, mentor modelers, and communicate strategy to technical and executive stakeholders.

Designs and executes complex data mining and extraction programs, writes queries and reports, develops data-warehouse-based reports and applications, maintains data warehouse knowledge and integrity, and provides training on developed applications.

The AVP will drive Claims Data initiatives, collaborate with teams to analyze data flows, support AI/ML solutions, and deliver actionable insights.