Operations Business Analyst 4

The Global Operations Group brings information systems, facilities, supply chain, logistics,and high-volume manufacturing together to drive the engine of our global business operations.We help Lam deliver industry-leading solutions with speed and efficiency, while activelysupporting the resilient and profitable growth of Lam's business.

• Partner with cross-functional stakeholders to align spare parts requirements for new product introductions and part transitions.
• Develop and implement initial stocking strategies for spare parts across global warehouses and regional service depots.
• Coordinate with supply chain teams to ensure availability of parts to support product launches.
• Monitor and manage inventory levels to optimize part availability while maintaining cost efficiency and minimizing excess.
• Represent spare parts planning in cross-functional meetings, ensuring alignment with broader product and service objectives.
• Analyze historical usage and regional demand data to forecast spare parts needs, proactively adjusting plans to mitigate risk of shortages, excess, or obsolescence.
• Perform data analysis using SQL and Power BI, delivering insights through dashboards and reports, and providing ad-hoc analysis to support functional stakeholders as needed.

• Bachelor's degree in Business, Supply Chain, or Engineering, with 8 years of related experience; or 6 years with a Master's degree, 3 years with a Ph.D.; or equivalent years of relevant work experience in lieu of a degree.
• Minimum of 5 years of progressive experience in supply chain planning, preferably within spare/service parts or NPI environments.
• Advanced proficiency in SAP and other supply chain planning tools.
• Comprehensive understanding of bill of materials (BOM) structures, product lifecycle management, and inventory control practices.
• Excellent communication skills, with a demonstrated ability to collaborate effectively across global, matrixed, and cross-functional teams.
• Proven experience supporting product launches in manufacturing or high-tech industries.
• Strong understanding of service operations and inventory optimization strategies.
• Skilled in managing multiple projects and shifting priorities in dynamic, fast-paced environments.
• Proficient in database and data warehouse technologies (Azure Synapse, SQL Server, SAP HANA), data analysis, data profiling, and visualization tools (Power BI).
• APICS certification (CPIM or CSCP) is a plus.
• Experience with Lean Six Sigma methodologies to drive process improvement and operational efficiency.

We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.

Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.

Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories - On-site Flex and Virtual Flex. 'On-site Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. 'Virtual Flex' you'll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.

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