Global Supply Chain Rotational Program, Business Intelligence Analyst I, New College Grad- Bachelor's (Austin TX)
Applied Materials
- Location
- Austin,TX
- Employment
- Fellowship
- Work model
- On-Site
- Level
- New Grad
- Salary
- $62.5k – $86k/yr
- H-1B history
- 125 approvals (FY2023)
- Posted
- Sep 1, 2026
Skills
About this role
Who We Are
Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world’s technology.
What We Offer
Salary: $62,500.00 - $86,000.00 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 . Program Overview Through the 30-month Supply Chain Undergraduate Rotational Development Program, you will primarily function as a Business Intelligence Analyst while also rotating through Project/Program Management and Supplier Account Management over the course of 12 months. After the initial 12 months of rotating, you continue on to a “Final Placement” role as a Business Intelligence Analyst, further building upon the skills learned in the rotations. Assignment of Final Placement role will be based on business need, role availability, and the individual assessments of candidate’s performance and skills displayed during their rotations. In the program, participants develop and refine the technical and business skills required to be successful in the Supply Chain organization. You will experience a blended learning environment which includes mentorship, job shadowing, and expanded networking opportunities with leaders and within our Employee Resource Groups, such as the Young Professionals Network (YPN). Participants will have the opportunity to gain high level visibility and create significant impact within a global manufacturing organization.
Position
Details During a series of rotations, participants will take on full-time responsibility of their functional role, which may include: Assisting with development, alignment, and implementation of commodity strategies across Applied Business Units. Driving resolution to systematic supply chain issues affecting quality, cost, delivery or lead-time. Assisting in developing and presenting high-level cost reduction opportunities. Presenting sourcing, cost, lead time reduction, capacity initiatives to key stakeholders. Forecasting and communicating engineering, materials, and manufacturing requirements to suppliers. Providing critical input to outsourcing decisions by performing Make vs. Buy analysis. Using existing BKMs to develop well defined reports / solutions using Databricks, SQL and Tableau Participates in the design, development and maintenance of ongoing metrics, reports, analyses, dashboards, etc. used to drive key business decisions. Works within controls to ensure the accuracy, timeliness and confidentiality of all managerial and business intelligence reports, views, dashboards, and user data. Implements new business reports within the established reporting framework, policies and procedures. Trains and supports end users on accessing of reports. Analyzes and interprets data and business intelligence reports. Works with others in the development of data warehouses and other