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.

The Senior Operations Business Analyst is part of the Spares Planning organization who partners with the Customer Service Business group (CSBG), regional planners, spares customer service, and leaders across the company to identify issues impacting our customers, which may limit our ability to meet business objectives.

This role will have a high-profile presence and will be able to contribute and make a difference in the global operations increasing our value to our customers and our internal functions.

• You will manage and leadlarge complex projects for internal and external end-users from discovery through execution and support.
• Support critical Spares Planning ramp activities for different tools and commodities.
• Partner with CSBG to drive planning / network actions on Silfex / Silicon commodity and MS strategy retention plans.
• Work on advanced analytics projects such as text mining to develop insights supporting our demand and forecast.
• Work with Spares,Order Fulfillment, and Planning management on Integrated Planning Solutions.
• Partner with Supply Chain to improve MRP signal stability and implement improvement plans and strategies.
• Provide support as needed for critical project needs such as Digital Transformation / ASW / Forecast Accuracy

• Bachelor's degreein Engineering, Computer Science, Qualitymanagement, Supply Chain, orrelated degree;or master's degree in industrial engineering.
• Eight (8) years of related experience in a similar role.
• Proven continuous improvement analytical experience, business analysis and
• Project Management experience, to includedefining theproblem statementand objectives, development of analysis and solution approach.
• Ability and willingness to work with multiple cross functional teams.
• Proficiency in advanced statistics, knowledge of statistical methods for modeling multivariate data sets including machine learning techniques and other methods for modeling physical or electro-mechanical systems.
• Knowledge of Quick base, Power BI capability and development.
• Ability to present conclusions and recommendations to executive audiences.

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.