Analyst, Demand Forecasting - Control Tower

GM • Warren, MI

4d • Hybrid

About The Position

General Motors Customer Care & Aftersales (CCA) is seeking an experienced, analytical Demand Forecasting Analyst to support its Control Tower operation. The role provides centralized monitoring, rapid assessment, and forecast decision-making for critical, high-visibility service parts. It identifies emerging demand, supply, inventory, quality, and operational risks, prioritizes issues according to business and customer impact, and coordinates cross-functional actions through resolution.

The Analyst connects forecasting with inventory planning, supplier management, logistics, and operations. The successful candidate translates customer demand signals, supply chain challenges, and business risks into actionable forecast decisions that support customer service, inventory health, and supply continuity. The position requires sound business judgment, comfort making decisions in ambiguous situations, and urgency when addressing issues requiring immediate action. The Analyst also advocates for forecasting across the organization by communicating impacts, recommendations, and required actions and building alignment among stakeholders.

The role is categorized as hybrid, with the selected candidate expected to report to a specific location at least three times a week or at another frequency set by their manager. Relocation benefits are not provided; relocation costs are the selected candidate’s responsibility. GM does not provide immigration-related sponsorship for this role.

Requirements

• Bachelor’s degree in Supply Chain Management, Business, Engineering, Economics, Statistics, Data Analytics, Information Systems, or a related field, or an equivalent combination of education and relevant work experience.
• At least 5 years of experience in demand forecasting, demand planning, supply planning, inventory planning or management, materials management, production or operations planning, S&OP, purchasing, procurement, logistics, supplier management, supply chain analytics, business analytics, customer fulfillment, or similar analytical supply chain roles.
• Strong analytical, problem-solving, and decision-making skills.
• Demonstrated ability to work independently and manage complex business issues.
• Experience leading and influencing teams while collaborating across multiple functions.

Nice To Haves

• Experience working with large datasets and analytical tools such as Python, SQL, or Google Workspace.
• Experience with service parts, aftermarket, inventory risk, backorders, or supply constraints.
• Experience with Maestro, Kinaxis, SAP IBP, Blue Yonder, or similar forecasting and planning platforms.
• Experience creating or managing business visualization tools such as Power BI, Tableau, or Spotfire.
• Experience with Tidal, KNIME, or an equivalent Extract Transform Load (ETL) workflow automation tool.

Responsibilities

• Own forecasting decisions for critical service parts and emerging issues affected by supply chain risks, changing demand patterns, and operational challenges.
• Translate customer demand signals, inventory conditions, supplier constraints, and business risks into actionable forecast strategies.
• Monitor critical service parts and emerging exceptions, assess potential business and customer impact, and prioritize issues requiring immediate action.
• Coordinate immediate cross-functional recovery actions with inventory planning, supplier management, logistics, purchasing, operations, engineering, and other business teams.
• Communicate findings, business impacts, recommendations, and next steps to stakeholders and leadership; escalate unresolved risks; and follow up through resolution.
• Act as the central forecasting point of contact for critical part disruptions, maintaining visibility of forecast decisions, business impacts, required actions, accountable owners, and issue status through resolution.
• Serve as the forecasting advocate in cross-functional meetings and business reviews.
• Investigate forecast variances, demand shifts, and emerging trends to identify root causes and corrective actions.
• Drive continuous improvement by challenging existing processes, thinking innovatively, and developing tailored solutions for complex business problems.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level