Supply Chain Cost Analyst

Meta Meta · Big Tech · Fremont, CA

Meta is seeking a Supply Chain Cost Analyst to apply advanced cost management methodologies to support Sourcing Managers in identifying and validating cost savings. The role involves building should-cost models for hardware and data center equipment, partnering with engineering on manufacturing assessments, and influencing product cost in early NPI phases. The analyst will also understand cost drivers, build total cost of ownership models, and collaborate with the Data Science team on cost-related tools and dashboards.

What you'd actually do

  1. Apply advanced cost management methodologies including target costing, equipment lifecycle TCO, benchmarking, should-cost, supplier cost breakdown, cost driver analysis, competitive bidding and NPV analysis – to support Sourcing Managers to help identify, achieve and validate cost savings.
  2. Build robust, bottoms-up, should cost models for various hardware and data center equipment including, but not limited to, hardware racks, power devices, Printed Circuit Board assemblies, memory, switches, and data center equipment.
  3. Partner with engineering to conduct manufacturing and test cycle time assessments/analysis and evaluate yield of manufacturing lines to improve efficiency, optimize costs and build Material Value Add cost models.
  4. Possess a deep understanding of the technical aspects of hardware products and conduct cost related design workshops with engineering to influence product cost in the early new product introduction phases and propose alternate sourcing strategies, vendors or components.
  5. Understand key cost and market drivers of various commodities and use that understanding to identify and influence sourcing managers on optimal times to pre-purchase commodities.

Skills

Required

  • sourcing management or supply chain management, with a focus on cost management
  • supply chain management and optimization
  • cost accounting and economics
  • simulation and competitive analysis, including aPriori, clean-sheet cost modeling, top-down cost modeling, target costing, design-to-cost methodologies, and cost benchmarking
  • data analysis and visualization tools such as Excel, Google Sheets, and Tableau
  • VAVE (Value Analysis and Value Engineering) experience
  • computer-aided design (CAD) software such as SolidWorks, CATIA, or Siemens Teamcenter
  • Ability to read engineering drawings and CAD files
  • manufacturing processes in hardware manufacturing, including mechanical components, PCB assembly, testing, and final assembly through ODMs and suppliers for New Product Introduction (NPI) and Mass Production (MP) products
  • project and program management principles
  • global operations management with expertise in Lean Six Sigma, process improvement, systems/process engineering, and project management