Business Operations Analyst & Project Manager

AMD AMD · Semiconductors · Santa Clara, CA · Sales / Marketing

This role is for an early-career Business Operations Analyst & Project Manager who will work across Manufacturing, NPI, Order Management, and Capacity Planning. Responsibilities include integrating data, streamlining workflows, driving improvement projects, and collaborating with various teams. The role involves developing lightweight tools and processes, supporting NPI logistics and planning, creating reports, and representing Business Ops & NPI in cross-functional meetings. The ideal candidate is curious, analytical, enjoys solving operational problems, and likes building structure.

What you'd actually do

  1. Develop and evolve lightweight tools and processes that bring together data from multiple functional domains. The focus is to connect information in different legacy systems and/or generated manually.
  2. Utilize Excel, Power BI, Python, SQL, Power-Query, AI application (i.e. Claude) or other available tools to build useful, reliable information sets for the team. What is required is a savvy user of productivity tools, not a programmer to rapidly create simple models and applications to support business processes that adapt as the business mature.
  3. Support NPI Program Managers by consolidating schedules, shipment data, and cross‑functional inputs
  4. Create and distribute recurring reports to support operational decision‑making
  5. Represent the Business Ops & NPI function in cross‑functional meetings where appropriate

Skills

Required

  • Excel
  • Power BI
  • Anthropic Claude
  • Power Query
  • SQL
  • Python
  • Project management experience
  • ERP/MRP/CRM systems
  • Supply chain
  • Business operations
  • Finance
  • IT/application development
  • Consulting

Nice to have

  • Python
  • SQL
  • Power Query

What the JD emphasized

  • build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems
  • shape the future of AI and beyond
  • build new processes
  • grow into owning broader responsibilities over time
  • connect information in different legacy systems and/or generated manually
  • build useful, reliable information sets for the team
  • not a programmer to rapidly create simple models and applications to support business processes that adapt as the business mature
  • mature data flows and reporting automation over time
  • scale as the business grows
  • build structure—not just maintaining it