Material Supply Chain Technical Analyst

The Role and Impact
As a Supply Chain Technical Analyst at Intel, you will play a pivotal role in transforming the way our global supply chain operates. You will leverage your technical expertise to analyze data, develop innovative solutions, and optimize processes that drive efficiency and scalability across our supply chain network. Your work will directly contribute to ensuring Intel continues to deliver world-class products to its customers, maintaining our position as a global leader in technology innovation. This is your opportunity to make a meaningful impact by solving complex problems, collaborating with cross-functional teams, and building the future of Intel's supply chain.

Key Responsibilities:

• Analyze and interpret supply chain data using advanced business intelligence tools and techniques to identify trends, opportunities, and areas for improvement.

• Design and implement data-driven solutions to support supply chain optimization, ensuring cost-effectiveness and operational excellence.

• Collaborate with cross-functional teams, including manufacturing, logistics, operations, and procurement, to align strategies and drive end-to-end supply chain efficiency.

• Develop and maintain dashboards, reports, and visualizations to provide actionable insights for key stakeholders.

• Utilize data management best practices to ensure data integrity and accuracy across complex datasets.

• Troubleshoot and solve supply chain issues by employing innovative problem-solving approaches and leveraging data analytics.

• Contribute to the continuous improvement of supply chain processes and systems to support future growth and scalability.

Minimum Qualifications

• Bachelor's or BS degree in a relevant field such as Supply Chain Management, Business Analytics, Data Science, Industrial Engineering, or related disciplines.

• 4 or more years of experience with a Bachelor's degree, 3 or more years with a Master's degree, or zero years with a PhD.

• Demonstrated proficiency in business data analytics and data visualization tools (e.g., Power BI, Tableau, or equivalent).

• Hands-on experience with data management and analysis in tools such as SQL, Python, or R.

• Strong understanding of supply chain processes, logistics, and optimization techniques.

• Proven ability to develop and interpret complex data models.

• Familiarity with business intelligence solutions and tools for driving decision-making.

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