Hiring.Camp

Operations Business Analyst 2

Lam Research

·

Jul 17, 2026

Location
Simpang Ampat, Penang,MY, MY
Type
Full-time
Department
Operations
Education
Bachelor
Source
Eightfold

Description

## The group you’ll be a part of

[Global Planning & Operations] [Global Manufacturing Inventory]

## The impact you’ll make

Join Lam as an Operations Business Analyst, where you'll spearhead process improvement initiatives. With your data expertise, you collect and analyze data through a range of Business Intelligence (BI) tools and apps, 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.

## What you’ll do

  • Monitor and analyze inventory levels across multiple sites to ensure healthy inventory positions and identify potential excess and obsolete (E&O) risks
  • Drive inventory mitigation actions by working closely with cross-functional stakeholders including Supply Chain, Planning, Finance, and Operations teams
  • Support inventory governance processes, including reporting, tracking, and review cadence to ensure compliance with business requirements
  • Perform data analysis to provide insights and recommendations for inventory optimization and continuous improvement
  • Support regional inventory initiatives and projects, including system improvements and process enhancements
  • Prepare regular reports and dashboards to provide visibility on inventory performance, risks, and mitigation progress

## Who we’re looking for

  • Bachelor's degree and a minimum of 2 years of related experience; or an advanced degree without experience; or equivalent work experience.
  • Strong analytical and problem-solving skills, with ability to interpret data and identify trends
  • Proficient in Microsoft Excel & Power Point; experience with enterprise systems (e.g., SAP, Kinaxis) is an advantage
  • Ability to work effectively with cross-functional teams and communicate insights clearly
  • Detail-oriented with strong sense of ownership and accountability
  • Eagerness to learn, adaptable to a fast-paced environment, and able to manage multiple priorities

## Preferred qualifications

  • Prior experience in inventory analysis, supply chain planning, or E&O (Excess & Obsolete) management
  • Familiarity with enterprise systems such as SAP, Kinaxis, or similar planning tools
  • Experience in data analysis and reporting tools (e.g., Power BI, Tableau)
  • Exposure to process improvement, automation, or analytics tools (e.g., Alteryx, Python, or Excel macros)
  • Understanding of supply chain processes, including demand/supply planning or manufacturing environment
  • Experience working in a regional or cross-functional environment

## 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.

Skills

PythonExcelSAPTableauPower BICompliance

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