Semiconductor Supply Chain Analytics Lead

MACHINE LEARNING TECHNOLOGIES LLC

Irving (TX)

On-site

USD 83,000 - 152,000

Full time

6 hours ago
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Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Irving, TX, is seeking a Supply Chain Analytics Lead Consultant/Analyst to drive data-driven insights across Fab, OSAT, and logistics, delivering dashboards, models, and strategic guidance.

The role requires deep analytics, experience in semiconductor supply chains, and the ability to translate complex data into actionable recommendations for executives.

Qualifications

  • Bachelor’s or Master’s degree in a quantitative field.
  • 3+ years in Supply Chain Analytics, BI, or Consulting.
  • 1+ years in Semiconductor/High-Tech/EMS industry.

Responsibilities

  • Lead design and maintenance of dashboards for monitoring key supply chain KPIs.
  • Analyze large supply chain datasets to identify trends and root causes.
  • Apply statistical models, predictive analytics, and AI/ML to forecast demand and optimize inventory.
  • Develop network design models considering borders and trade compliance.
  • Provide strategic insights to clients or senior management.
  • Collaborate with Planning, Manufacturing, Procurement, Finance, IT to gather requirements and implement data-driven strategies.
  • Lead or support S&OP, MRP, and inventory control initiatives in fab/ foundry contexts.
  • Identify opportunities for automation and digitalization across procurement, manufacturing, and logistics.
  • Integrate data flow between planning tools and ERP systems (SAP, Kinaxis, Oracle).
  • Develop TCO models and business cases for strategic supply chain initiatives.

Skills

SQL
Python
R
Data visualization
Analytical thinking

Education

Bachelor's or Master's in a quantitative field

Tools

Tableau
Power BI
QlikView
SAP
Oracle
SAP IBP/APO
Kinaxis

Job description

MACHINE LEARNING TECHNOLOGIES LLC in Irving, TX, is seeking a Supply Chain Analytics Lead Consultant/Analyst to drive data-driven insights across Fab, OSAT, and logistics, delivering dashboards, models, and strategic guidance.

The role requires deep analytics, experience in semiconductor supply chains, and the ability to translate complex data into actionable recommendations for executives.

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