Top Business Intelligence Jobs in Milwaukee, WI

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.

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.

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.

As an intern, you will design and optimize dashboards in Sigma, write SQL queries for data extraction, and use Python for data manipulation, all while collaborating with the data team.

The Director of Business Intelligence at Viral Nation will lead analytics strategy for a CPG organization, driving insights and growth opportunities across sales, marketing, and digital engagement. Responsibilities include building a high-performing team, developing predictive models, and optimizing measurement strategies to inform executive decisions.

The Business Intelligence Analyst II role focuses on analyzing data, providing intelligence to business decision-makers, creating reports and dashboards, and ensuring data quality across departments. This position requires advanced analytics skills and expertise in data visualization tools.

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.

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.

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.