Success Starts Here

As a leading global supplier of wafer fabrication equipment and services to the semiconductor industry, Lam Research develops innovative solutions that help our customers build smaller, faster, and more power-efficient devices.

We are a company comprised of people who work hard, deliver outstanding results and maintain a sense of humor during even the most challenging times. Our success results from our employees' diverse technical and business expertise, which fuels close collaboration and ongoing innovation. We know that our dynamic, global team of exceptional employees is essential to our continued growth.

Join the Lam Research team, where you can play a vital role in the future of electronics and write your own success story.


Analytics Lead, Spares Operations

Date:  Jan 11, 2023
Location: 

Phoenix, AZ, US, 85085

Req ID:  176288

Job Responsibilities

As Lead Analytics Architect in Global Spares organization at Lam Research you will be responsible for building strategy and roadmap for Spares Analytics. You will be working directly with sub-business units under Spares in helping them implement their analytics programs, in collaboration with data architecture, business, and development teams. You will also guide application and business development teams in the analytics design of complex solutions and ensure that they are in alignment with the COE data principles, standards, strategies.

  • Lead data and analytics strategic plans and support the development of enterprise data and analytics initiatives for Global Spares organization in alignment with Lam’s Analytics guidelines
  • Manage, plan, and organize the overall data and analytics program and activities of Spares aligned with the mission, vision, strategic direction, and goals of line of business 
  • Lead and coordinate key line of business data and analytics initiatives 
  • Develop line of business data and analytics program goals and deploy key metrics related to these line of business data and analytics initiatives
  • Explore and advance innovative data and analytics solutions
  • Develop and maintain professional relationships at all levels; manage high level customer relations; communicate and collaborate with external partners
  • Communicate and update status of data and analytics to the line of business

Other Job Responsibilities


Experience:

  • Building Analytics Strategy for line of business 
  • Cloud based analytics tools such as data factory, data fabric, synapse, SAP HANA etc.
  • Using data integration across a variety of sources using R, Python, or similar tools
  • Working with modern data infrastructures (e.g., data lakes, graph databases, etc.)
  • Presenting data and analytics ideas and strategies to decision/policy makers
  • Selecting and managing consultants, vendor-provided applications, or IT applications
  • SAP HANA and related business process knowledge as it relates to Spares Operations
     

Ability to:

  • Manage a program of data and analytics initiatives
  • Develop, plan, and implement data and analytics strategic plans
  • Develop meaningful metrics in support of enterprise and line of business strategies
  • Use data to drive all aspects of decision making related to this role
  • Develop and maintain effective working relationships at different levels of leadership
  • Create clear and concise reports in a variety of formats (pdf, word, PowerBI/BI tool, etc.)
  • Effectively communicate data informed insights
  • Communicate effectively in individual and large group settings
  • Organize, direct, and evaluate subordinates
     

Knowledge of:

  • Analytics (e.g., business intelligence, data and reporting, data processing and manipulation, data science, statistics, machine learning, geospatial analyses, applied research methods, data to decision frameworks, etc.)
  • DataOps, Data infrastructure, Data management
  • Principles of project and program management
  • Practices of effective administration and management 

Minimum Qualifications

  • Minimum of 12 years of related experience with a Bachelor’s degree; or 8 years and a Master’s degree; or a PhD with 5 years experience; or equivalent experience.

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.

We Look Forward to Your Application

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