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Supply Chain Analyst

Ford Motor Private Limited · Chennai, Tamil Nadu
// classified as
Other (Adjacent or hard to classify.)
posted
1d ago
location
Chennai, Tamil Nadu
languages
sql
tools
excel, tableau
> stack
sqlexceltableau
> description

As an Analyst in the N-Tier Risk Sensing CoE, you are a strategic specialist responsible for securing Ford’s production continuity through multi-tier supply chain visibility. In the current dynamic automotive landscape, your role is to provide real-time, proactive insights that eliminate risk before it impacts production. Working within a high-performance team, you are required to be agile and amicable team player. You will transform complex datasets into actionable intelligence, enabling executive leadership to make informed, strategic decisions.

Technical Execution - Network Mapping & Data Analysis

  • Multi-Tier Illumination: Execute deep-dive mapping of supply chains for complex electronic 'Black Boxes' and critical commodities, identifying suppliers at Tier 2, 3, and beyond.
  • Supplier Intelligence: Validate supplier-provided data by cross-referencing industry intelligence, logistics feeds, and historical performance to ensure a 'single source of truth' for the supply chain. 
  • Vulnerability Assessment: Identify 'Single Point of Failure' nodes within the sub-tier network, focusing on regional concentrations and capacity constraints
  • Risk Modeling: Utilize data science methodologies to identify regional concentrations, geopolitical vulnerabilities, and supply chain constraints.

Operational Management

  • KPI Delivery: Maintain high standards for 'Time-to-Recover' on risk assessments and ensure the 'Risk Prediction Accuracy' of your assigned commodity portfolios.
  • Extreme Ownership: Manage end-to-end data workstreams with technical precision in an agile, high-pressure environment.
  • Playbook Support: Assist in the development of proactive mitigation playbooks by providing the data-backed foundation for derisking and regionalization strategies.

Digital Integration & Collaboration

  • AI Integration: Collaborate with IT partners to feed cleaned, validated N-Tier data into Ford’s AI-driven resilience dashboards.
  • Cross-Functional Support: Provide technical data support to Global Purchasing, Engineering, and Material Planning and Logistics teams during supply crises or strategic sourcing reviews.
  • Visualization: Create high-impact data visualizations that simplify complex supply chain dependencies for senior management briefings.

  • Education: B.E./B.Tech in a Technical/Engineering field (Required); Specialization in Supply Chain Operations Research is an additional advantage. Data Science knowledge is preferable.

  • Experience: 3–6 years of experience in Supply Chain analytics, Commodity Management, or Risk Management—ideally within the Automotive, Electronics, or Aerospace sectors.

  • Technical Skills: Proficiency in data visualization tools (e.g., Power BI, Tableau), SQL, and advanced Excel. Familiarity with AI/Machine Learning applications in SCM is highly preferred.

  • Domain Knowledge: Understanding of global supplier ecosystems, electronic component manufacturing, or raw material markets.

  • Shift: 2:00 PM – 11:30 PM (IST). This is critical for daily synchronization with North American and European stakeholders to ensure a 'follow-the-sun' risk monitoring model.

  • Environment: A high-paced, data-centric Global Capability Center (GCC). You must be comfortable pivoting quickly as global geopolitical or environmental risks emerge.

Apply at Ford Motor Private Limited →