Top Data & Analytics Jobs in Hartford, CT

Build and maintain large-scale data structures and ETL pipelines using Python and SQL. Design data marts and models, integrate data sources, ensure data quality, and collaborate with cross-functional teams to operationalize analytics on cloud platforms.

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 Business Analyst role involves engaging with stakeholders, analyzing requirements, communicating needs, and guiding project delivery for technology solutions.

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 Global Lead Data Steward will drive enterprise data standards and governance, improve data quality, and influence data practices across Ascot's global business.

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

Lead the modernization of the Business Intelligence reporting ecosystem, manage a team, oversee compliance, and address analytics requests in Employee Benefits insurance.

Design, develop, test, and support QlikView and Qlik Sense BI solutions including data models, front-end apps, scripting, and Publisher. Perform data analysis, produce technical documentation, interact with stakeholders to gather requirements, and apply basic data architecture. Insurance domain experience preferred.

Implement and support IBM Infosphere suite (Information Analyzer, Business Glossary, Metadata Workbench) and integrate Informatica code into data lineage tools. Coordinate with infrastructure teams for server and software installs, perform exports/imports and scripting for foundational tools, and maintain working knowledge of the Informatica repository. Strong communication required.

Lead ETL and BI testing: gather requirements, define test strategy, document test scenarios and data, develop Java/VB automation utilities, validate ETL processes, reports and cubes, manage onsite/offshore teams, review artifacts, and report metrics to stakeholders.