Business Operations Analyst 3

The Global Planning & 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.

As a Business Operations Analyst at Lam, you will play a pivotal role in enhancing the effectiveness and efficiency of the Global Planning organization. Leveraging strong analytical methodologies, you will provide data-driven insights that enable decision-makers to address gaps, resolve issues, and achieve critical business objectives.

In this role, you will analyze and optimize planning metrics, evaluate business processes, and identify root causes of performance challenges. Your work will directly support continuous improvement initiatives, driving informed business decisions and delivering measurable operational results.

• Track and report operational performance against targets.
• Lead regular reviews to ensure accurate forecasting across supply chain, manufacturing, and logistics.
• Identify gaps and connect them to systems and processes.
• Assess risks and highlight potential issues.
• Provide clear, data-driven recommendations to leadership.
• Communicate process gaps across local and global teams.
• Drive process improvements across functions.
• Ensure adherence to analytics standards.
• Lead and coordinate complex cross-functional initiatives to completion.

  An ideal Operations Analyst is:

• Curious and driven to understand root causes (e.g., 5 Whys).
• Detail-oriented with a strong understanding of the bigger picture.
• Self-motivated and able to quickly learn new skills.
• Focused on producing high-quality work while improving efficiency.
• Highly organized and comfortable working in ambiguous environments.
• Able to translate complex data into clear, actionable insights.
• Builds strong relationships across all levels of the organization.
• Takes pride in delivering high-quality results

• Bachelor's degree in Supply Chain, Operations Management, Business, Engineering, or related field, with 5 years experience; or 3 years experience with a Master's degree; or Ph.D with no experience.
• Five (5) years of Operations related experience in data science, program management, or analytics, or other similar role.
• Excellent verbal and written communication with experience influencing stakeholders.
• Demonstrated success working in fast-paced global working environment.
• Experience leading cross-functional teams and influencing stakeholders.
• Advanced analytical skills to interpret and utilize data for decision support.
• Proficient in Microsoft Power BI and other analytics tools.

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.

#LI-YS1