About The Position

Who We Are 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. What We Offer Location: Austin,TX 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. TEAM OVERVIEW: The Logistics Data Management team is responsible for the administration of all Applied Materials’ logistics data. We help to ensure that shipments made by Applied Materials and our suppliers are compliant to our routing guides. We capture and report the tracking details for all our shipments. We manage the data capture, audit, and payment of our logistics invoices – transportation, brokerage, and crating. Finally, we manage the in-house reporting tools that contain all this information, for the use of our internal customers.

Requirements

  • Proficiency in SQL and/or Python
  • Hands‑on exposure to Tableau or Power BI
  • Strong skills in Microsoft Excel (pivot tables, data cleaning, lookups)
  • Familiarity with Databricks or similar cloud analytics platforms
  • Bachelor’s or master’s degree in data science, Computer Science, Information Systems / Management Information Systems, Business Analytics, Statistics, Industrial Engineering
  • GPA requirements 3.0 and above preferred
  • Ability to manage large datasets and combine information from multiple sources
  • Ability to support ongoing analytics needs, including maintaining dashboards, recurring reports, and ad-hoc analyses
  • Strong communication skills
  • Applications will be reviewed on a rolling basis. Please apply by March 6, 2026.
  • Note: This position may close early based on application volume or candidate selection.
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