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Tier-1 brand, mid-level generalist role with common skills increases candidate competition.
Core analytics skills transfer widely, but MES/ERP and semiconductor planning systems create moderate domain dependence.
Explicit 2–5 years plus mandatory SQL, Python, and planning systems increases filtering strictness.
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Analyze daily supply chain issues, develop actionable plans, and identify permanent resolutions to improve supply chain performance.
Design, develop, and maintain advanced analytical models and dashboards to support scenario analysis, risk assessment, and strategic planning.
Provide regular performance updates to senior management and deliver actionable insights to enhance end-to-end supply chain operations.
Bachelor's or Master's degree in Engineering or equivalent.
2 to 5 years of experience in supply chain analytics and production/capacity planning.
Hands-on knowledge of SQL/PLSQL, Python or R, and data visualization tools like Tableau, Power BI, or QlikView.
Experience with Supply Chain Modeling and Planning Systems (e.g., Blue Yonder, Kinaxis) and MES/ERP systems such as SAP.
Independent, self-directed operator capable of becoming a subject matter expert in supply chain analytics.
Experienced in cross-functional collaboration and engaging stakeholders at all organizational levels.
Strong analytical capability to identify process gaps and recommend strategic improvements in supply chain functions.