About The Position

Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world. You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more. At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits.

Requirements

  • Student must be pursuing a master’s degree in supply chain management, data analytics or a related major
  • Student must be in good academic standing at their university, with a preferred GPA of 3.0 or above on a 4.0 scale
  • Ability to problem-solve creatively and analytically
  • Commitment to quality and customer satisfaction
  • Excellent listening, writing, quantitative, qualitative and oral communication skills
  • Desire for continuous learning and improvement
  • Flexible and adaptable mindset who thrives in a results-driven culture

Nice To Haves

  • SAP, Teamcenter experience
  • Data analytics skills - advanced excel, regression analysis, R, Python, SQL

Responsibilities

  • Utilize Global Parts and Supplier Technology (GPS&T) solution Portal, customer qual tracker and transition dashboard to manage multiple complex projects.
  • Develop process maps for ECO and Non-ECO transitions and identify opportunities
  • Develop dual sourcing model based on sourcing attributes and their impact
  • Lead efforts to automate tasks for enhanced efficiency and productivity in project execution.
  • Develop requirements and collaborate with business intelligence team to generate reports and dashboards.
  • Analyze large dataset to derive insights and recommendations.
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