11 product data analyst jobs at 7 companies in Pontiac, MI
1mo
Save
Mark Applied
Hide
1mo
Senior Data Analyst - Product
Detroit, Michigan, United States
OnsiteFull Time
Rocket LoansNYSE: RKT: Fintech platform for homeownership, mortgage, and financial services.
3+ YOEBachelor's or equivalent experience; 3+ years using SQL; experience creating KPIs, dashboards, and end-to-end analyses; strong statistics and storytelling skills; experience with data quality and governance.
GM FinancialNew York Stock Exchange: GM: Captive automotive finance subsidiary of General Motors.
6+ YOE6-8 years in data analytics or AI systems; production AI/GenAI experience preferred; Auto finance and Agile experience a plus; Bachelor's in a quantitative field; Master’s preferred; strong SQL/Python and data visualization skills.
Originations - Technical Product Analyst II - Canada
Atlanta or Dallas or Detroit or Houston or Phoenix
OnsiteFull Time
Stellantis Financial Services: Captive automotive-finance bank providing mobility financing for Stellantis brands.
4+ YOERequires 4 years in auto finance or related industry, 2 years in systems analysis, QA, or configuration, Agile/Scrum experience, LOS/XLOS knowledge, documentation skills, APIs, integrations, data flows, and a bachelor's degree or equivalent experience.
LOS, XLOS, JIRA, Confluence, Microsoft SharePoint, APIs
Yanfeng: Global automotive supplier specializing in interior and seating systems.
3+ YOEBachelor's degree in a related field and 3+ years in manufacturing required. Experience with operations, production control, supply chain, MES, data analysis, and cross-functional projects preferred.
Manufacturing Execution Systems (MES), Power BI, Power Apps, Power Automate, SQL, APIs, ERP
FordNYSE: F: Global automotive manufacturer of cars, trucks, and mobility solutions.
Bachelor's degree, manufacturing or supply chain experience, production planning knowledge, data storytelling, and experience with Ford MP&L systems and data analysis tools.
Ascent, Pega, Microsoft Office, Microsoft Excel, Microsoft PowerPoint, Power BI, CMMS, Super G, GCP, MCPV, Alteryx
StellantisNYSE: STLA: Global automotive manufacturer and provider of innovative mobility solutions.
5+ YOE5 years in commercial analytics, product management analytics, pricing strategy, or automotive product planning; Bachelor's degree; proficient in scenario modeling; strong communication with senior stakeholders.
StellantisNYSE: STLA: Global automotive manufacturer and provider of innovative mobility solutions.
5+ YOEBachelor's degree, 5+ years in commercial analytics/product planning/pricing, proficiency with scenario modeling and large transaction datasets, ability to present to senior stakeholders, cross-functional collaboration experience.
BAE Systems Land: Defence division producing combat vehicles, weapons, munitions, artillery and missile systems for military customers.
Bachelor's in a technical discipline or equivalent experience; CM experience, MS Office and product data management tools (WindChill, TeamCenter) preferred; ability to obtain Secret clearance.
FordNYSE: F: Global automotive manufacturer of cars, trucks, and mobility solutions.
Bachelor's degree and manufacturing or supply chain experience required. Requires production planning knowledge, data storytelling, MS Office proficiency, and familiarity with Ford MP&L systems; Alteryx preferred.
Ascent, Pega, Microsoft Office, Microsoft Excel, Microsoft PowerPoint, Power BI, CMMS, Super G, GCP, MCPV, Alteryx
FordNYSE: F: Global automotive manufacturer of cars, trucks, and mobility solutions.
Bachelor's degree, manufacturing or supply chain experience, production planning knowledge, supply chain operations experience, data analysis skills, and proficiency with MS Office tools.
Microsoft Excel, Microsoft PowerPoint, AI agents, Data Analytics, Ascent, Pega, CMMS, MMP, SAP, Super G, GCP, MCPV, Alteryx
LineageNASDAQ: LINE: Global provider of temperature-controlled supply chain and warehouse solutions.
8+ YOE8+ years in business analysis, consulting, or operations; cross-functional collaboration; data analysis; familiarity with AI/ML concepts; experience with product/portfolio tools and process improvement methodologies.