Supply Chain Analyst

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. Data Analysis & Insight Generation 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 . Supply Chain Optimization & Consulting 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 modelcontext. 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. Stakeholder Management & Team Leadership Manage project workstreams, 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. Required Qualifications & Skills Education & Experience 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. Technical Skills 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, QlikView). 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. Core Competencies 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 of the semiconductor value chain, including IDM/Foundry/Fabless models, OSAT coordination, wafer flows, and long lead‑time material sourcing. Communication & Consulting Skills: Excellent written, verbal, and presentation skills with the ability to influence and collaborate across diverse, global teams. Project Management : Ability to manage multiple priorities, timelines, and work independently or lead project segments. MACHINE INTELLIGENCE TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE INTELLIGENCE TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE INTELLIGENCE TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract. #J-18808-Ljbffr