Supply Chain Analytics

The Supply Chain Analytics Lead Consultant/Analyst will be responsible for driving data-driven insights and digital transformation initiatives across the end-to-end semiconductor supply chain, including wafer fabrication (Fab), Outsourced Semiconductor Assembly and Test (OSAT), and logistics. This role requires deep expertise in advanced analytics, supply chain processes, and a strong functional understanding of the semiconductor industry's ecosystem and challenges. The successful candidate will translate complex data into actionable strategies to optimize performance, enhance resilience, and reduce costs.

• Lead the design, development, and maintenance of advanced dashboards and reports for monitoring key supply chain KPIs (e.g., inventory levels, demand forecast accuracy, on-time delivery, supplier performance).
• Perform in-depth analysis of large, complex supply chain datasets (planning, procurement, manufacturing, logistics) to identify trends, patterns, and root causes of inefficiencies specific to the semiconductor domain.
• Utilize statistical models, predictive analytics, and AI/ML techniques to improve demand forecasting, optimize inventory placement (especially high-value components/wafers), and mitigate supply chain risks.
• Develop network design and optimization models to rationalize operational assets and networks, considering international borders and trade compliance complexities inherent in the semiconductor value chain.
• Drive thought leadership by researching and analyzing market trends, competitor strategies, and industry benchmarks to provide strategic insights to clients or senior management.

• Consult with cross-functional stakeholders (Planning, Manufacturing, Procurement, Finance, IT) to gather business requirements and implement data-driven strategies that drive operational excellence.
• Lead or support projects related to Sales & Operations Planning (S&OP), Material Requirements Planning (MRP), and inventory control strategy, particularly in a fabless, IDM, or foundry model context.
• Identify opportunities for process improvement, automation, and digitalization across procurement (e.g., source-to-pay), manufacturing planning, and logistics.
• Provide expertise in integrating and optimizing data flow between various planning tools and ERP systems (e.g., SAP IBP/APO, Kinaxis, Oracle).
• Develop TCO (Total Cost of Ownership) models and business cases for strategic supply chain initiatives, securing buy-in from stakeholders.

• Manage project work streams, ensuring timely delivery of client-ready deliverables and value realization.
• Effectively communicate complex analytical findings and strategic recommendations to both technical and executive audiences.
• Mentor and coach junior analysts, fostering a culture of continuous improvement and analytical rigor.

• Bachelor's or Master’s degree in Supply Chain Management , Operations Research, Industrial Engineering, Business Analytics, or a closely related quantitative field.
• 3+ years of direct experience in Supply Chain Analytics, Business Intelligence, or Consulting.
• 1+ years of specific, hands‑on experience working within the Semiconductor, High-Tech, or Electronics Manufacturing Services (EMS) industry.

• Data Analysis Proficiency:
  Expert‑level proficiency in data manipulation and analysis using tools and languages such as SQL, Python, and/or R.
• BI & Visualization Tools:
  Hands‑on experience designing and maintaining dashboards using leading platforms (Tableau, Power BI, Qlik View).
• Supply Chain Systems:
  Functional knowledge of ERP (e.g., SAP, Oracle) and advanced planning systems (e.g., SAP IBP/APO, Kinaxis).
• Modeling:
  Experience with statistical modeling, optimization, and simulation techniques.

• Strong Analytical and Problem‑Solving
  
  Skills:
  
  Proven ability to break down complex, unstructured supply chain problems (like the long, multi‑tiered semiconductor supply chain ) and generate actionable, evidence‑based solutions.
• Semiconductor Domain Knowledge:
  Solid understanding…