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.
- Measure and publish operations performance to established metrics and targets.
- Conduct regular operations reviews with functional teams to ensure planning is sending accurate forecasting signals to supply chain, manufacturing, and logistics to optimize efficiency and output.
- Perform gap-analysis and link to operational systems and processes.
- Providing risk-assessments and forecasting outcomes.
- Present data-based prescriptive and actionable recommendations to leadership.
- Articulate simple, accurate conclusions based on data from data ecosystem.
- Communicate process gaps (including non-standard work instructions) within the local and global organizations.
- Drive process change cross -functionally.
- Ensure compliance of analytics standards.
- Take ownership of complex cross-functional efforts, coordinating stakeholders and advancing work to completion.
An ideal Operations Analyst is:
- Curious – a strong desire to dig to and understand the root cause of problems (5x why)
- Lives in the details while understanding the big (holistic) picture.
- Is a self-starter – will not know everything but can teach themselves anything.
- Embraces the detailed work required to achieve high-quality outputs, while actively seeking ways to streamline, improve, and reduce manual effort over time.
- Is hyper-organized and is energized from bringing clarity and control to ambiguous and chaotic situations.
- Capable of simplifying complex data into clear business conclusions.
- Can quickly build trust and establish rapport with all stakeholders and management levels.
- Takes pride in output that has their name on it.
- Bachelor’s degree in Supply Chain, Operations Management, Business, Engineering, or related field.
- 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.
Salary
Salary Range for this position: - .
The above salary range for this position is relevant to applicants that reside in California and most states. Salary offers will depend on factors that include the location you work from, your level, education, training, specific skills, years of experience and comparison to other employees already in this role. Actual salary may vary from salary offered due to numerous factors including but not limited to unpaid time off, unpaid leave, company mandated shutdown, and other relevant factors.
Our Perks and Benefits
At Lam, our people make amazing things possible. That’s why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.
Skills Required
- Bachelor's degree in Supply Chain, Operations Management, Business, Engineering, or a related field
- 5+ years of operations-related experience in data science, program management, analytics, or a similar role
- Excellent verbal and written communication skills with experience influencing stakeholders
- Experience working in a fast-paced global environment
- Experience leading cross-functional teams and influencing stakeholders
- Advanced analytical skills for interpreting and applying data to decision support
- Proficiency in Microsoft Power BI and other analytics tools
Lam Research Corporation Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Lam Research Corporation and has not been reviewed or approved by Lam Research Corporation.
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Parental & Family Support — Parental leave is described as 16 weeks fully paid for all new parents, with birth mothers averaging about 26 weeks total; adoption assistance and subsidized backup childcare are also included. These programs are consistently highlighted as standout elements of the package.
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Healthcare Strength — Medical options span PPO, CDHP, and HMO choices with company HSA funding, alongside dental and vision coverage. Coverage quality and breadth are emphasized, supported by wellbeing resources such as an EAP.
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Equity Value & Accessibility — An ESPP with a discount and look-back/reset features is highlighted, and many technical roles include RSUs and bonuses that lift total compensation. These equity mechanisms are frequently cited as meaningful components of total rewards.
Lam Research Corporation Insights
What We Do
Lam Research Corp. (NASDAQ:LRCX) is a global supplier of innovative wafer fabrication equipment and services to the semiconductor industry. The world's leading companies trust us as their valued partner because we bring together technology leadership, a strong values-based culture, and an unwavering commitment to prove our customers’ next big breakthrough. Our impact on the world can be seen all around us, as nearly every advanced chip today is built with our technology. Through collaboration, precision, and our commitment to delivery, we are transforming atomic-scale engineering and driving semiconductor breakthroughs that define the next generation. Lam Research Social Media Guidelines: By using or accessing this page, you agree to comply with LinkedIn’s Terms and Conditions. While we welcome participation and engagement, it is important to note that postings and/or comments by followers to Lam’s LinkedIn page do not necessarily reflect the opinions of Lam, nor does Lam confirm their accuracy. We expect that participants post content and commentary that is both relevant and respectful to this community as a whole. Lam reserves the right to remove any posts and/or comments that do not adhere to our guidelines and to block anyone who violates them repeatedly. Specifically, we do not tolerate these kinds of posts: • Abusive, harassing, stalking, threatening or attacking others • Defamatory, offensive, obscene, vulgar or depicting violence • Hateful in language targeting race/ethnicity, religion, gender, nationality or political beliefs • Fraudulent, deceptive, misleading or unlawful • Violations of any intellectual property rights • Spamming in nature • Commercial solicitation or solicitation of donations • Link baiting (embedding a link in your post to draw traffic to your own site) View Lam’s Online Privacy Notice Summary : https://www.lamresearch.com/privacy/
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