You will be part of the Global Operations Analytics Team who will be supporting the Spares Planning business unit on various Analytics Initiatives.
Join Lam as an Embedded/Business Analyst, where you'll spearhead process improvement initiatives. With your systems knowledge and business process acumen, you expertly collect and analyze data, evaluate processes, develop metrics, and identify root causes with data-driven indicators for future improvements. Organizing cross-functional project teams, you communicate team progress and survey best practices, showcasing your commitment to operational excellence at Lam.
As a member of the Global Operations - Analytics Center of Excellence (CoE) you will lead the initiatives to enhance operational excellence by leveraging data to develop and implement strategic project plans, requiring collaboration and influencing senior leaders for impactful results.
- Perform detailed business analysis, developing insights, and solutions for the supported business functions.
- Perform ad-hoc analysis for the functional stakeholders, as required.
- Develop a Functional Analytics Roadmap working with the CoE supporting the strategic objectives of the function(s).
- Develop a resource plan for the function(s) based on the roadmap.
- Act as a functional Single Point of Contact (SPOC) with the CoE to deliver roadmap/business needs by leading solutioning meetings, defining/prioritizing business requirements, translating the requirements into technical-functional specifications for the CoE to execute, participate in the UAT and post-production support.
- Technical and functional documentation of the developed solutions.
- Bachelor's degree in computer science, Data Science Analytics, Mathematics, Business Administration, or Engineering.
- 8 years of experience in design and development of business applications supporting various functions within Global Operations.
- Must have experience in developing data visualizations (reports & dashboards) using tools like Power BI, SAP Business Objects or similar tools.
- Exposure to programming languages in SQL or HANA Technologies.
- Experience with SAP ECC or other ERP applications for Spares Planning management.
- Advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, etc.)
- Analytical and problem-solving skills (creative idea generation / brainstorming / innovation).
- Experience utilizing technical and domain knowledge to develop and implement effective solutions.
- Evidence of subject matter expertise in functional domain (Project Lead, Line responsibility, Functional key contributor in Spares Planning.
- Collaborate with key business partners throughout the Global Operations network.
- Collaborate with Lam's offshore Apps Support team to exchange business and technical knowledge to help in overall growth of both the onsite and offshore teams while creating solutions that meet stakeholder expectations.
- Experienced in mentoring to team members across all phases of the Systems Development Life Cycle (SDLC), leveraging Agile methodologies.
- Evidence of strong communication skills on technical and business topics using written, verbal, and/or presentation materials as necessary.
- 5+ years of experience in developing data visualizations (reports & dashboards) using tools like Power BI
- 8+ years of experience with programming in SQL, or HANA Technologies.
- 8+ years of experience with SAP ECC or other ERP applications for Spares Planning
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, etc.).
- Proficiency with Microsoft Office Suite.
- Jira and Agile Methodology and APICS (CPIM) Certification is a plus.
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: $92,000.00 - $211,000.00.
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 computer science, data science or analytics, mathematics, business administration, engineering, or a related field
- 8 years of experience designing and developing business applications supporting Global Operations functions
- Experience developing data visualizations, reports, and dashboards using Power BI, SAP BusinessObjects, or similar tools
- Exposure to SQL or SAP HANA technologies
- Experience with SAP ECC or other ERP applications supporting Spares Planning management
- Knowledge of advanced statistical techniques, including regression, distribution properties, and statistical tests
- Analytical, problem-solving, creative ideation, brainstorming, and innovation skills
- Experience applying technical and domain knowledge to develop and implement effective solutions
- Subject matter expertise in Spares Planning, such as project leadership, line responsibility, or functional key contribution
- Ability to collaborate with business partners across the Global Operations network
- Ability to collaborate with offshore application support teams and exchange business and technical knowledge
- Experience mentoring team members across the software development life cycle using Agile methodologies
- Strong written, verbal, and presentation communication skills on technical and business topics
- 5 or more years of experience developing data visualizations, reports, and dashboards using Power BI
- 8 or more years of experience programming in SQL or SAP HANA technologies
- 8 or more years of experience with SAP ECC or other ERP applications for Spares Planning
- Knowledge of advanced statistical techniques and concepts
- Proficiency with Microsoft Office Suite
- Experience with Jira and Agile methodology
- APICS CPIM certification
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/







