Top Analysis Reporting Jobs in Hartford, CT

Lead onboarding, mapping, and validation for a Customer Data Hub: write user stories and acceptance criteria, define mastering/transformation logic, perform data lineage and reconciliation, validate integrations and outcomes, support production incidents, create runbooks and documentation, and partner with product, engineering, QA, and governance teams to enable reliable customer data for applications and analytics.

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.

The Actuarial Analyst supports pricing, product development, and risk evaluations while assisting in creating predictive models and presenting findings to management.

Drive enterprise automation by identifying workflow inefficiencies across Home Health, Primary Care, and Pharmacy. Use data analysis, process and journey mapping, and MDM to define opportunities and leading indicators. Partner with product, engineering, clinical, compliance, and operations to design, validate, and scale AI-enabled automation solutions that improve outcomes and efficiency while ensuring regulatory compliance.

Looking for a Data Modeler with expertise in dimensional and operational modeling, data dictionary creation, and XML schema designing with industry data models experience.

The BI ETL Data Developer II/III develops and maintains scalable data pipelines in a cloud-based environment, enhancing data integrity and quality for informed decision-making across the University.

The Sr. Data Analyst will utilize industry knowledge to analyze data, develop solutions, and support customers globally, focusing on delivering high-quality IT services.

The Senior Technology Architect - Big Data will design and implement solutions using Hadoop, Java, and Python, focusing on data warehousing and BI projects with extensive experience in the software lifecycle.

Develop and support Informatica ETL solutions (70% development, 30% support). Build error-handling frameworks integrated with Autosys/Control-M/Tidal, configure PowerCenter grid, and work with IDQ, MDM, and Informatica Cloud. Perform performance tuning, Unix scripting, Teradata/SQL work, and data cleansing/profiling/standardization.

The Senior Quality Assurance Analyst ensures product quality through manual and automated testing, collaborates with teams, and manages testing activities including risk assessment and reporting.