MSE Automation Intern

LAM RESEARCH Corporation; Batu Kawan; On-site; MYR 17,000 - 28,000; Full time

Job summary

Lam Research Corporation is seeking an intern to support regional business operations with data analytics and automation development. You will work on SQL-based data analysis, reporting with Power BI, and contribute to process improvements under guidance.

The role includes UAT, documentation, and end-user trainings, with exposure to machine learning concepts. Hybrid and on-site collaboration are available in a global manufacturing context.

Qualifications

• Bachelor degree in Engineering/CS or equivalent.
• Strong SQL scripting skills with complex queries and data analysis scripts.
• Familiarity with Power BI and data reporting tools.
• Basic knowledge of machine learning concepts is a plus.

Responsibilities

• Assist in development of automation solutions for data analytics and decision making.
• Contribute to UAT, documentation and end-user trainings.
• Perform system sustaining and continuous improvement activities.
• Handle additional tasks as required.

Skills

SQL scripting

Analytical mindset

Problem-solving

Willingness to learn

Education

Bachelor Degree in Engineering/Computer Science

Tools

Power BI

Machine Learning concepts

Job description

The group you’ll be a part ofThe 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.The impact you’ll makeJoining 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 doAssist in development of automation solutions to support and enhance the data analytics and decision makings.Responsible to conduct UAT, documentation and provide trainings to end users.Perform system sustaining and continuous improvement.Perform any other tasks and duties as requiredWho we’re looking forBachelor Degree in Engineering/Computer Science or equivalentStrong to excellent SQL scripting skills with experience writing complex queries, joins, stored procedures, and data analysis scripts.Familiarity with databases, data management, and reporting tools such as Power BI.Basic knowledge of Machine Learning concepts and data analytics is an advantage.Strong analytical mindset, problem-solving skills, and willingness to learn.6-months internshipPreferred qualificationsOur commitmentWe 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.