5 business intelligence developer jobs at 5 companies in Wayne, MI
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Business Intelligence Lead, Performance Marketing
Chicago or Columbus or Detroit or Kansas City or Madison or Saint Louis
$120k-$150k/yrRemoteFull Time
Launch Potato: Digital media operating a portfolio of consumer brands.
7+ YOE7+ years in BI/analytics with performance marketing exposure; expert SQL; LookML or equivalent; reporting ownership; ability to work with unstructured third-party data and partner with business teams.
MascoNew York Stock Exchange: MAS: Manufactures and distributes home improvement and building products.
Proven BI delivery leadership with hands-on Power BI, semantic modeling, DAX, enterprise dashboard ownership, SQL/ETL experience, Databricks/Azure familiarity, and team leadership for BI developers.
Power BI, Tabular models, DAX, Microsoft Fabric, SQL, Databricks, Databricks Unity Catalog, Azure
General MotorsNYSE: GM: Manufactures and sells automobiles and automotive parts globally.
2+ YOEBachelor's degree and 2–4 years of experience in analytics, business intelligence, manufacturing engineering, automation, or process improvement; expertise in Power BI, DAX, SQL Server, Python, ETL, Databricks, and Microsoft Power Platform.
Microsoft Power BI, DAX, SQL Server, Python, Databricks, Microsoft Power Apps, Microsoft SharePoint, Microsoft Power Automate, Google Cloud Platform (GCP), Google Workspace, ETL, Autonomous Mobile Robots (AMRs), Automated Guided Vehicles (AGVs), Autonomous Fork Trucks (AFTs), Collaborative Robots (Cobots), Industrial Robotics, Automated Material Handling Systems
Sales & Business Development Researcher- Architecture & Construction
Auburn Hills, Michigan, United States
OnsiteFull Time
Acoufelt: A that provides high-quality soft architectural acoustics materials and solutions for commercial interior projects.
Research and identify new construction and design project opportunities, build account and contact intelligence, and conduct outreach to set meetings for the sales team.
StellantisNYSE: STLA: Designs and manufactures vehicles for diverse global automotive brands.
5+ YOEBachelor's in Engineering/Data Analytics/Business, 5+ years in automotive product development/market intelligence/quality/data analytics, strong analytical/reporting skills, Microsoft Excel and Power BI proficiency, experience with customer surveys, fluent English.