Business Operations Analyst 3

Lam Research•Tualatin, OR

About The Position

The Business Operations Analyst will enhance the effectiveness and efficiency of Lam Research’s Global Planning organization by applying analytical methods and providing data-driven insights to support business decisions and objectives. The role analyzes and optimizes planning metrics, evaluates business processes, identifies root causes of performance challenges, and supports continuous improvement initiatives that deliver measurable operational results. The position works with functional teams and stakeholders across planning, supply chain, manufacturing, logistics, and the wider global organization. It involves communicating findings and process gaps, recommending actions to leadership, and coordinating complex cross-functional efforts through completion. Lam describes its work-location models as hybrid options, including On-site Flex and Virtual Flex; the specific arrangement for this role is not stated.

Requirements

  • Bachelor’s degree in Supply Chain, Operations Management, Business, Engineering, or a related field.
  • At least 5 years of operations-related experience in data science, program management, analytics, or a similar role.
  • Excellent verbal and written communication skills, with experience influencing stakeholders.
  • Demonstrated success working in a fast-paced global environment.
  • Experience leading cross-functional teams and influencing stakeholders.
  • Advanced analytical skills for interpreting and using data to support decisions.
  • Proficiency in Microsoft Power BI and other analytics tools.

Responsibilities

  • Measure and publish operations performance against established metrics and targets.
  • Conduct regular operations reviews with functional teams to ensure planning provides accurate forecasting signals to supply chain, manufacturing, and logistics.
  • Perform gap analyses and connect findings to operational systems and processes.
  • Provide risk assessments and forecast outcomes.
  • Present data-based, prescriptive, actionable recommendations to leadership.
  • Communicate clear and accurate conclusions based on data from the data ecosystem.
  • Communicate process gaps, including non-standard work instructions, within local and global organizations.
  • Drive process change cross-functionally.
  • Ensure compliance with analytics standards.
  • Take ownership of complex cross-functional efforts, coordinate stakeholders, and advance work to completion.

Benefits

  • Comprehensive benefits; specific benefits are not listed.
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