Top Business Intelligence Jobs in Hartford, CT

The role involves partnering with analytics teams to create reports, analyze credit performance, and provide insights to optimize credit journeys and reduce risks using SQL and Python.

Hands-on technical lead designing and delivering secure, scalable Azure analytics solutions. Lead solution architecture, guide implementation, mentor engineers, advise on Power BI architecture and governance, and support delivery, consulting, and reuseable asset creation.

As a Business Intelligence Analyst, you will manage analytics projects, build dashboards and reports using SQL and Snowflake, and work with stakeholders to translate data needs into actionable insights.

Design, develop, and maintain enterprise BI solutions using MicroStrategy, Oracle, and PostgreSQL. Collaborate with stakeholders for reporting and dashboards, optimize performance, and leverage AI tools for automation.

The RevOps BI Architect designs and maintains BI platforms, creates dashboards, optimizes reporting performance, and ensures data clarity for revenue operations teams.

As a BI Developer, you will design and maintain Power BI dashboards, develop SQL queries, and collaborate with stakeholders to create actionable insights, ensuring data integrity and automating reporting processes.

The BI Data Analyst III will provide insights for business decisions at Credible, focusing on the Insurance team. Responsibilities include developing dashboards, conducting data analysis, and collaborating across teams.

Manage and optimize the Business Intelligence engineering team, develop BI strategy, oversee project management, and ensure data accuracy.

As a Senior Data Analyst, you will manage data analysis projects, develop analytical models, guide junior analysts, and collaborate with stakeholders to enhance business decisions based on data insights.

The Manager leads business intelligence and data operations, establishes KPI governance, oversees executive reporting, and ensures data-driven decision-making across teams.

The role involves leading analytics, managing data pipelines, ensuring data quality, and translating data into actionable insights for business impact.

As a Senior Product Analyst, you'll analyze user experience, develop metrics, visualize data, communicate insights, and enhance decision-making for better learning outcomes.