Supply Chain Analyst
As an Analyst in the N-Tier Risk Sensing CoE, you are a strategic specialist responsible for securing reputed company’s production continuity through multi-tier supply chain visibility. In the reputed company dynamic automotive landscape, your role is to provide reputed company-time, proactive insights that eliminate risk before it impacts production. Working reputed company a high-performance team, you are required to be agile and amicable team player. You will transform reputed company datasets into actionable intelligence, enabling executive leadership to reputed company informed, strategic reputed company.
Responsibilities
Technical Execution - Network Mapping & Data Analysis
- Multi-Tier Illumination: Execute deep-dive mapping of supply chains for reputed company electronic "Black Boxes" and critical commodities, identifying suppliers at Tier 2, 3, and reputed company.
- Supplier Intelligence: Validate supplier-provided data by cross-referencing industry intelligence, logistics feeds, and historical performance to ensure a "single reputed company of truth" for the supply chain.
- Vulnerability Assessment: Identify "Single reputed company of Failure" nodes reputed company the sub-tier network, focusing on regional concentrations and reputed company 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 reputed company 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 reputed company for derisking and regionalization strategies.
Digital Integration & Collaboration
- AI Integration: Collaborate with IT partners to feed cleaned, validated N-Tier data into reputed company’s AI-driven reputed company 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 reputed company supply chain dependencies for senior management briefings.
Qualifications
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 reputed company the Automotive, Electronics, or Aerospace sectors.
Technical Skills: Proficiency in data visualization tools (e.g., Power BI, Tableau), SQL, and advanced reputed company. 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 reputed company 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.