Top Business Intelligence Jobs in Madison, WI

Lead the design and implementation of OBIEE 12c solutions for UW-Madison. Act as an architecture resource, ensuring best practices in business intelligence are followed.

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.

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.

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.

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.

Design and maintain business intelligence applications, resolve technical issues, and aid business decision making using BI tools.

The Business Intelligence Lead leverages complex datasets to deliver insights for decision-making, leads data initiatives, and mentors teams in visualization best practices while collaborating with leadership to align business strategies.

The HR Technology BI Developer designs and develops HR analytics platforms to enhance decision-making and improve workforce planning through robust data solutions.

The Associate Director leads finance reporting and analytics strategy, overseeing a BI team and ensuring scalable analytics solutions across CenterWell.

The HR Technology BI Developer designs and enhances the HR analytics platform, develops scalable solutions, and collaborates with global teams to improve workforce analytics and compliance.

As a Business Intelligence and Analytics Engineer, you will develop data tools, ensure data quality, deliver analytical insights, and collaborate with cross-functional teams to empower data-driven decision-making.

The Business Intelligence Manager leads BI teams, manages client relationships, enhances analytics platforms, and ensures data governance for optimized insights.

Lead and manage a team to define and execute business intelligence strategies, drive analytics initiatives, and ensure data quality and governance within a healthcare context.

The Business Intelligence Analyst will analyze pharmaceutical transaction data, develop visual data models, and collaborate cross-functionally to drive insights and improvements in business strategies.

Design, build, and maintain Power BI dashboards for MSP and sales teams by cleaning and transforming data, developing data models and DAX measures, documenting reporting logic, supporting ad hoc analysis, and identifying automation and data-quality improvements.

Support GSI and alliances analytics by building Power BI dashboards, Salesforce reports, and data models. Clean and transform data, create DAX measures, and produce executive-ready insights to track partner pipeline, co-sell performance, and strategic partner impact.

Lead business intelligence analysis and reporting using SQL, Looker/LookML, and web analytics. Build dashboards, monitor data quality, provide insights and recommendations, mentor junior analysts, and partner with stakeholders and clients globally to solve complex business problems and support marketing/web analytics initiatives.

Design, develop and deliver analytics solutions by integrating large healthcare and external datasets, creating visualizations and models, and communicating insights and recommendations to stakeholders to inform strategic decisions.

As a Business Intelligence Analyst, you will drive analytics, optimize processes, and generate insights to enhance customer success, developing dashboards and predictive models while collaborating with leadership and cross-functional teams.

The Business Intelligence Developer collaborates to identify analytics gaps, designs scalable data models, and delivers dashboards and insights, optimizing existing resources while ensuring accuracy and accessibility.

Design, build, and support enterprise BI solutions by aggregating data from multiple sources, developing reports and dashboards (Tableau, SSRS), writing SQL and ETL (SSIS), collaborating with stakeholders, supporting data modeling and governance, and ensuring data accuracy to inform business decisions—with emphasis on behavioral health and healthcare data.

The Revenue Cycle BI Developer will design and implement data extraction solutions, conduct data analysis, and support reporting needs using various BI tools.

Own end-to-end data pipelines for multiple clients: extract, clean, transform, model and visualize data. Build dashboards and automated workflows, apply AI where useful, and present actionable insights to non-technical stakeholders.

The role involves developing BI dashboards, analyzing supply chain KPIs, collaborating with teams for operational improvements, and ensuring data integrity.

Partner with Marketing stakeholders to define questions, build and maintain Tableau dashboards, run deep-dive analyses, forecast funnel and pipeline, and deliver clear data-driven recommendations to inform strategy and execution.