Top Analysis Reporting Jobs in Hartford, CT

Provide data analysis, reporting, and operational support for customer communications, contact data integrity, and digital experience platforms. Serve as subject-matter expert for assigned functions, support Salesforce Marketing Cloud messaging (templates, audiences, sends, QA), prepare reports, analyze contact data, assist with user stories/testing, track and resolve issues, monitor workflow, recommend process improvements, and support training and change management.

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.

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 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 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.

The Facets Systems Analyst will perform development and maintenance tasks in Facets, lead a team of developers, and ensure quality outcomes through testing methodologies while maintaining compliance with healthcare standards.

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