Lead Semiconductor Supply Chain Analytics

Cloud Analytics Technologies, LLC; Irving (TX); On-site; USD 90,000 - 120,000; Full time

Job summary

A leading technology consulting firm is seeking a Supply Chain Analytics Lead Consultant/Analyst located in Texas. This role involves driving data-driven insights in semiconductor supply chains, optimizing performance through advanced analytics and collaboration with cross-functional teams. Candidates should hold a relevant degree and have over 3 years of experience in supply chain analytics, particularly within high-tech environments. Strong proficiency in data analysis and familiarity with key supply chain systems are required.

Qualifications

• 3+ years of experience in Supply Chain Analytics, Business Intelligence, or Consulting.
• 1+ years of hands-on experience in the Semiconductor, High-Tech, or Electronics Manufacturing Services industry.
• Expert-level proficiency in data manipulation using SQL, Python, or R.

Responsibilities

• Drive data-driven insights and digital transformation across the semiconductor supply chain.
• Lead design and maintenance of advanced dashboards for supply chain KPIs.
• Consult with stakeholders to implement data-driven strategies.
• Lead projects on Sales & Operations Planning and inventory control.

Skills

Data Analysis Proficiency

Supply Chain Systems Knowledge

Communication Skills

Project Management

Education

Bachelor's or Master’s in Supply Chain Management, Industrial Engineering, Business Analytics

Tools

SQL

Python

Tableau

Power BI

SAP

Oracle

Job description

A leading technology consulting firm is seeking a Supply Chain Analytics Lead Consultant/Analyst located in Texas. This role involves driving data-driven insights in semiconductor supply chains, optimizing performance through advanced analytics and collaboration with cross-functional teams. Candidates should hold a relevant degree and have over 3 years of experience in supply chain analytics, particularly within high-tech environments. Strong proficiency in data analysis and familiarity with key supply chain systems are required.