Career Opportunities

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.

This success is the result of our employees' diverse technical and business expertise, which fuels close collaboration and ongoing innovation.

Join the Lam Research team, where you can write your own success story. Come help us solve our customers' toughest problems and be part of a company that plays a vital role in the future of electronics.

Lam Research - a company where successful people want to work.

Business Analyst Lead

Date: Sep 3, 2020

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About Lam….


Together we move the Atoms that move the World:

Imagine working on the front lines of innovation! As one of the semiconductor industry's leading suppliers of wafer fabrication equipment and services, our technology depends on finding and hiring the best and the brightest employees. We know that our dynamic, global team of exceptional employees is essential to our continued growth.


Lam Research - where successful people want to work:

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. This is truly a rare opportunity. Lam Research is a market leader where our core values are not just words on the back of your badge. Given the criticality of this role to Lam Research's success, this philosophy starts with you.

Job Responsibilities

Developing and maintaining metrics and dashboards in PowerBI or QlikSense relative to performance for the engineering services organization
o    Joining data across a variety of platforms in a sustainable and scalable fashion
o    Provide and maintain M/S PowerPoint presentations
o    Support corporate growth initiatives to migrate data into standardized platforms (Power BI, Qlik Sense, etc.)
•    Create and publish reports based on the obsolescence management 
•    Work with the business stake holders in requirements gathering from business users and provide solutions and business insights through data analysis 
•    Preparing Technical & Functional Specification Documentation
•    Provides consultation on the use of re-engineering techniques to improve process performance and product quality, business risks. May deliver presentations and training courses including measurement, analysis, improvement and control. 
•    Plans, performs and implements process improvement initiatives (such as Lean or Six Sigma). 
•    Data mining which provide actionable data in response to changing business requirements
o    Responsible to translate business requirements into appropriate data queries
o    Ability to bridge data across multiple platforms to provide the required solution
o    Ability to articulate the results into responses which are readily understood by the end user
•    Support the development and implementation of best known methods with respect to data analytics
•    Design, develop and test Data Models to import data from source systems to meet Project requirements
•    Effectively analyze the source data and write SQL scripts to integrate data from multiple data sources
•    Understanding with Data analysis, data mapping, data loading, and data validation
•    Surveys and analyzes best practices for techniques and processes. Communicates team progress. Performs cost and benefit analyses. Aligns improvement to performance shortfalls.
•    Provide mentorship and guidance to junior team members in analytics team
•    Manages individual projects to improve operational efficiency.

Mandatory Skills

•    Experience in Power BI, Qliksense or Tableau
•    Proven Experience in developing dashboards and applications specifically for  Manufacturing, Supply Chain, Engineering  functions
•    Good understanding of business (Bills of Materials/ product structure, inventory, obsolescence ,component engineering etc)
•    Knowledge of Product Life Cycle Management systems preferably Enovia 
•    Experience in advance analytics techniques (R, Python, SQL, statistical analysis, etc.)
•    Data Base Development - SQL Server ,SAP HANA, etc.
•    Data Analysis skills and experience extracting information from SQL DB, SAP ECC, SharePoint, and .NET App etc.
•    Experience in creating reports/dashboards using analytical tools
•    Experience in data extraction from data sources (ERP, Datawarehouse) systems using SQL
•    Experience in working with MS Excel & MS Access
•    Excellent communication skills (written & verbal)

Minimum Qualification
  • Years of Experience:       Minimum 6-10 years
  • Job Experience:              Knowledge in developing BI/Analytics and Data Projects with strong business analysis knowledge in engineering supply chain manufacturing domains
  • Educational:                    Bachelor’s or Master’s Degree: Business/Math/Statistics/Operations Research/Industrial Engineering/Computer Science
  • Knowledge of any programming language will be added advantage (preferably .Net, JavaScript)
  • Knowledge of Analytical Tools & Languages: .NET, Python, R, Statistical Libraries.
  • Knowledge of Machine Learning & Statistics
  • Data Analysis skills and experience extracting information from SQL DB, HANA, etc.
  • Clear understanding of Data Warehousing concepts. Knowledge of ETL tools required
  • Experience using ERP system preferable SAP
  • Knowledge of Engineering Change management , Obsolescence management  business processes
  • Project management experience is beneficial
  • Six sigma processes or statistics experience a plus
More About Us ….


Our work is everywhere you look – even if you can’t actually see it. Lam Research goes deeper than software or chips to the heart of the process that enables chip creation. So if you want to help power the components that empower everything, join us.


All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.

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