Supply Chain Analyst

Summary Supply Chain Analyst N-Tier Risk Sensing & Resilience (CoE) Support Fords supply chain resilience strategy by developing visibility across multi-tier supplier networks, identifying potential risks before production impact, and generating actionable intelligence that enables proactive decision-making. This role combines supply chain expertise, data analytics, and risk sensing capabilities to support production continuity across global operations. Responsibilities TThe Supply Chain Risk Sensing & Resilience Center of Excellence (CoE) is responsible for providing proactive visibility into Fords global supply network. As a Supply Chain Risk Analyst, you will analyse supplier ecosystems beyond Tier-1 suppliers to identify vulnerabilities, regional dependencies, capacity constraints, and emerging risks. Working closely with Purchasing, Engineering, Material Planning & Logistics, and Digital teams, you will transform complex supply chain data into meaningful business insights that support strategic and operational decision-making. This role requires strong analytical capability, supply chain knowledge, stakeholder collaboration, and a continuous improvement mindset. Responsibilities Multi-Tier Supply Chain Analysis Conduct deep-dive mapping of supplier networks across Tier-2, Tier-3, and lower-tier suppliers. Develop visibility into critical commodities, electronics, and strategic supply chains. Validate supplier-provided information using external data sources, logistics information, and historical performance records. Maintain accurate supply chain network intelligence and data quality. Risk Identification & Assessment Identify supply chain vulnerabilities, including single-source suppliers, regional concentration risks, and capacity constraints. Assess geopolitical, environmental, economic, and operational risks across supplier networks. Support predictive risk-monitoring initiatives using analytical and data-driven approaches. Develop risk impact assessments for critical supply chains and commodities. Data Analytics & Intelligence Analyse large and complex datasets to identify trends, disruptions, and emerging supply chain risks. Create executive-level dashboards and visualisations using Power BI, Tableau, or similar tools. Develop reports and insights that support strategic sourcing and risk mitigation decisions. Collaborate with digital and analytics teams to support AI-enabled resilience solutions. Operational Support Manage assigned commodity or supplier portfolios. Support supply disruption events by providing rapid data analysis and decision support. Monitor and improve key performance indicators related to risk identification and mitigation activities. Maintain high levels of analytical accuracy and responsiveness. Cross-Functional Collaboration Partner with Global Purchasing, Engineering, Material Planning & Logistics, and supplier management teams. Support strategic sourcing decisions through supply network intelligence. Contribute analytical inputs to resilience playbooks and business continuity planning activities. Qualifications Qualifications Education Required: Bachelors Degree (B.E./B.Tech) in: Supply Chain Management Industrial Engineering Mechanical Engineering Manufacturing Engineering Electrical Engineering Operations Research Data Science Other Technical Disciplines Preferred: Specialisation in Supply Chain Management, Operations Research, Analytics, or Data Science. Experience 36 years of experience in: Supply Chain Planning Commodity Management Risk Management Supplier Interaction Preferred industry experience: Automotive Electronics Aerospace High-technology Manufacturing .