Senior Business Operations Analyst

The Group You’ll Be A Part Of

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 actively supporting the resilient and profitable growth of Lam's business.

The Impact You’ll Make

Lam Research is seeking an experienced, Business Operations Analyst to join the Global Operations Quality and Safety team.

This position will partner with various functional groups across Lam to identify and project manage data analytics and system solutions to enable operational excellence across our logistics, supply chain, order fulfillment and manufacturing operations. This role will require the use of appropriate analytical models, statistical methods, and accumulation of subject matter expertise.

This role provides a unique opportunity to connect and partner with people across various facets of our business operations and is a key contributor to Global Operations continuous improvement in safety and quality.

What You’ll Do

• Performs detailed business analysis, develops and presents insights and solutions for the business function that drive operational excellence (global operations safety/quality)
• Develops Functional Analytics Roadmaps that supports the strategic objectives of business function
• Research and recommend new technologies or methodologies to improve business operations and competitive advantage.
• Participates in the governance and prioritization of projects across the business function
• Develops resource plan for the function(s) based on the roadmap
• Acts as a functional single point of contact (SPOC) to deliver roadmap/business needs
• Project management of new business system solutions and future change requests to existing systems or data analytics dashboards
• Design and implement standard industry practices for development and deployment of data analytics and software applications
• Performs Ad-hoc Analysis for functional stakeholders as needed

Who We’re Looking For

• Bachelor's degree in Math, Statistics, Computer Science, Operations Research or related field, or Master's degree in Industrial Engineering
• Expert in Database and Data warehouse technology (Azure Synapse/SQL Server/SAP HANA) 
• Experience with Data Analysis/Data Profiling, Visualization tools (Power BI) 
• Experience in Stakeholder management/requirement gathering/delivery cycle
• Experience in Agile/SCRUM process and development using any tools.  
• Experience in Exploratory data Analysis using SQL/Python
• Ability to transform complex datasets into clear, compelling visual representations
• Experience in project requirements gathering and converting business requirements into analytical & technical specs. 
• Knowledge in performing Root cause analysis and Corrective actions. 
• Excellent verbal and written communication & presentation skills, able to communicate cross-functionally
• Ability to thrive in a dynamic and ambiguous environment

Our Commitment

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.