Top Business Intelligence Jobs in Hartford, CT

The Senior Performance Strategist manages key client relationships, optimizes performance, drives projects, supports troubleshooting, and mentors junior members to enhance campaign strategies and processes.

The Director leads business performance analytics, conducting complex analyses, improving data flow, and influencing strategic decisions through insights and stakeholder collaboration.

The Business Intelligence Lead will build and refine measurement systems, translating business objectives into metrics, ensuring data accuracy, and providing insights for strategic decision-making.

The Lead Business Intelligence Analyst will modernize reporting frameworks using Adobe Analytics and Power BI, translating complex marketing data into insights and driving strategic decision-making through effective communication with stakeholders.

The Sr Data Enablement Specialist will enhance data governance, support BI tools, implement AI workflows, and provide training resources to improve data utilization across teams.

The Business Intelligence Principal leads strategic data initiatives, translating complex healthcare data into insights to improve HEDIS and Medicare Stars performance while collaborating with cross-functional teams.

This role involves leading data and analytics initiatives, partnering with business stakeholders, and managing global data warehouse responsibilities in insurance.

The Insights Architect will lead architecture design for data warehousing and big data environments, ensuring data quality and implementing best practices across diverse technical teams.

The Insights Architect will lead architecture initiatives, focusing on data quality, data mining, business intelligence, and big data environments in healthcare and insurance.

This role oversees the design and evolution of finance reporting solutions using Power BI, collaborating with global finance teams to create scalable analytics and insights.

Lead design, development, and maintenance of enterprise logical and physical data models for commercial insurance operations. Implement governance, naming standards, OMG-based industry models, DDL generation, and collaborate with architects, business stakeholders, and compliance teams to support operational and analytical BI requirements.

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 Business Intelligence Manager will lead enterprise analytics, design data models, integrate systems, standardize KPIs, and enhance decision-making through analytics.

As a Business Intelligence Manager, you will lead data-driven decision-making through analytics, reporting, and data management to improve customer experience operations.

Lead analytics for marketing and customer acquisition: build dashboards, design and evaluate A/B tests, monitor conversion funnels, develop multi-touch attribution reporting, migrate reports to new systems, combine structured and unstructured data, and partner across Marketing, Sales, Finance, Operations, Credit, and Technology to turn insights into automated actions.

Design, develop, and deliver BI dashboards and analytic capabilities for Global Specialty. Drive roadmap execution, translate stakeholder feedback, troubleshoot data issues, and partner across IT and BI teams to promote adoption of data and GenAI solutions.

The Director of Data and Enterprise Applications oversees the architecture, development, and support of business applications and data platforms, driving digital transformation and ensuring data integrity and accessibility.

Develop, publish, and manage interactive Power BI reports and dashboards, collaborating with teams to address business analytics needs and leveraging data for decision-making.

The Power BI Business Analyst will create dashboards, perform data analysis, and enhance reporting to support operations and decision-making across various departments.

The IT Business Intelligence Analyst analyzes data, creates reports, trains users, and maintains BI tools. Requires expertise in SQL and BI.

Design, develop, and maintain enterprise Power BI dashboards and reports. Integrate data from SQL Server, Azure, Excel and other sources, perform data modeling and DAX calculations, validate data, and document data models and reporting logic while partnering with business stakeholders.

Lead enterprise Power BI architecture and governance, design scalable semantic models and high-performance reports, enable self-service analytics, optimize large-dataset performance, and mentor analytics teams while aligning solutions with business requirements and data engineering.

Design and maintain ELT pipelines, build dimensional (star/snowflake) analytics models, implement data transformations and quality checks, document data lineage and governance, partner with BI users, and mentor junior engineers to deliver performant analytics for business reporting and KPIs.

The Senior BI Engineer will design BI solutions, create data models, mentor junior staff, and collaborate with stakeholders to drive data-driven decisions.

Build and maintain dashboards and reports (Excel, Tableau, Sigma) by pulling and modeling production data (SQL, Python). Create pricing models for RFPs, define operational and financial metrics, optimize queries and data structures, run A/B experiment analyses, and partner with business leaders to generate insights and recommendations to improve roadside assistance operations and performance.