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Lam Research is an American semiconductor equipment company founded in 1980 that specialises in the deposition and etch steps used to build transistors and memory cells. Its tools are central to three-dimensional NAND manufacturing, where hundreds of layers must be etched through in high aspect ratio channels, and to the atomic layer deposition and selective etch processes required at advanced logic and DRAM nodes. Headquartered in Fremont, California and listed on Nasdaq, it also runs a large installed base business supplying spares, upgrades and service, which smooths the sharp cycles in equipment purchasing.

The group you’ll be a part of

The Global Customer Operations Group brings industry insights and experience to help our customers deliver on their technology roadmaps. We work tirelessly to earn the trust of our customers, because we know that working closely together leads to the highest quality outcomes.

The impact you’ll make

Joining the team is an exciting opportunity to be at the forefront of business process transformation and to provide essential analytical support to the Regional Business Operations team.

What you’ll do

  • Support regional business operations, reporting, and business review activities.
  • Assist with data preparation and validation to support accurate and consistent reporting.
  • Support documentation of business processes, reporting requirements, and work instructions.
  • Assist in reviewing existing processes and identifying opportunities for simplification and improvement.
  • Support comparison of similar activities across regions and contribute to common templates and standardized practices.
  • Participate in process improvement and digitalization activities where applicable.
  • Work with Global Business Center(GBC) team members and regional stakeholders on assigned tasks and activities.
  • Perform other business operations activities as assigned by the supervisor.

Who we’re looking for

  • Availablility for a minimum 6 months internship is required.
  • Undergraduate in Business Administration, Business Analytics, Operations Management, Supply Chain, Finance, Industrial Engineering, Data Science or related fields.
  • Analytical, detail-oriented, organized, and willing to learn.
  • Good communication and problem-solving skills.
  • Interest in business operations and continuous improvement.
  • Comfortable working with Excel and business data.
  • Power BI or other reporting tool exposure is a plus, but not required.

Preferred qualifications

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.

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