Spares Inventory Analyst at LAM

Compensation

$0/yr

Setup: Hybrid
Type: Full-time
Level: senior
Posted: Sep 10, 2026

Summary from listing

Lam Research is hiring a Global Spare Parts Inventory Analyst to optimize global spare parts inventory, improve service levels and working capital, and support inventory planning, analytics, policy management, and continuous improvement. The role analyzes inventory health, demand and supply trends, exceptions, and scenario impacts; develops dashboards and reporting; and collaborates with product planning, procurement, logistics, service operations, and product management. Candidates need at least 8 years of related experience and a bachelor’s degree, or equivalent qualifications, along with strong analytical, Excel, Power BI, and business intelligence skills. The position offers On-site Flex or Virtual Flex work models and a salary range for applicants in the California San Francisco Bay Area.

Required Skills

Inventory planning
Supply chain analytics
Demand planning
Excel
Power BI
Business intelligence
Scenario analysis
Root cause analysis

Additional Information

Minimum Education: Bachelor’s degree in Supply Chain Management, Business, Engineering, Finance, Data Analytics, Operations, or a related discipline; alternatively, a Master’s degree with 6 years of experience, a PhD with 3 years of experience, or equivalent experience.
Required Previous Experiences: At least 8 years of related experience with a bachelor’s degree, or 6 years with a master’s degree, or 3 years with a PhD, or equivalent experience.
At least 5 years of experience in inventory planning, supply chain analytics, materials management, demand planning, or related fields.
Preferred Qualifications: Experience in semiconductor equipment, service supply chain, capital equipment, or high-tech manufacturing environments.
Knowledge of spare parts planning, aftermarket operations, inventory optimization, and service supply chain management.
Experience supporting global inventory organizations with multi-echelon inventory networks.
Familiarity with forecasting methodologies, inventory modeling, and service level planning concepts.
Knowledge of ERP and planning systems such as SAP, Kinaxis, Baxter Planning, Servigistics, or similar inventory planning platforms.