Analyze large datasets across planning, procurement, manufacturing, and logistics to identify inefficiencies in the semiconductor domain.
Utilize predictive analytics and ML to improve demand forecasting and optimize inventory placement.
Develop network design and optimization models considering international borders and trade compliance.
Consult with cross-functional stakeholders to implement data-driven strategies for operational excellence.
Required Skills
Bachelor's or Master’s degree in Supply Chain Management, Operations Research, Industrial Engineering, Business Analytics, or related quantitative field.
3+ years of experience in Supply Chain Analytics, BI, or Consulting.
1+ years of hands-on experience in the Semiconductor, High-Tech, or EMS industry.
Expert-level proficiency in SQL, Python, and/or R for data manipulation and analysis.
Hands-on experience designing dashboards in Tableau, Power BI, or QlikView.
Functional knowledge of ERP systems like SAP or Oracle, and advanced planning systems like SAP IBP/APO or Kinaxis.
Experience with statistical modeling, optimization, and simulation techniques.
Solid understanding of the semiconductor value chain (IDM/Foundry/Fabless models).