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Overview
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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 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.

What you’ll do

The internship will perform a variety of assigned tasks and projects that require data analyzing and reporting to support Supply Chain Commodity Manager through reports compilation, Power-BI data extraction and analysis, other internal system data analytics for supply chain business needs to improve process efficiency, monitoring and data updating but not limited to:

  • Development of key metric dashboard and business process improvement projects.
  • Required to work with cross functional team to identify challenges and opportunities to improve current business processes and reports.
  • Assist to prepare materials and data for business case study & reporting.

Who we’re looking for

  • Currently pursuing a university degree in IT related (Database, SAP, Power BI), Business Analytics / Data Analytics, Supply Chain Management, Logistics or Engineering/Science related studies.
  • Strong communication skills, attention to detail and solution-oriented thinking with proficiency in MS Office (Excel, Word, Power Point and PowerBI).
  • Energetic person who is keen to learn on Supply Chain Management and willing to develop on this field.

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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