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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.


Business Analyst Lead

Date:  Sep 27, 2021
Location: 

Bangalore, KA, IN, 560071

Req ID:  154511

Job Responsibilities

  • Plans, performs, and implements process improvement initiatives (such as Lean or Six Sigma).
  • Diagrams and evaluates existing processes. Organizes, leads, and facilitates cross-functional project teams.
  • Developing and maintaining metrics and dashboards relative to organizational performance
    • Joining data across a variety of platforms in a sustainable and scalable fashion
    • Provide and maintain M/S PowerPoint presentations
    • Support corporate growth initiatives to migrate data into standardized platforms (Power BI, Qlik Sense, etc.)
  • Data mining which provide actionable data in response to changing business requirements
    • Responsible to translate business requirements into appropriate data queries
    • Ability to bridge data across multiple platforms to provide the required solution
    • 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

Minimum Qualifications

  • Minimum 6 years with  Bachelor’s or master’s Degree: Business/Math/Statistics/Operations Research/Industrial Engineering/Computer Science
  • Knowledge and Experience in Manufacturing, Supply Chain, Manufacturing domain with Data Analysis and Business Analysis skills.
  • Building Reports and Dashboards with different Visualization tools (like Power BI, or others).  Knowledge in performing Root cause analysis and Corrective actions.
  • Data Base Development – strong knowledge of SQL Server, SAP HANA, SQL Programming etc. Data Analysis skills and experience extracting information from SQL Server DB, SAP ECC, SharePoint and other tools and platforms
  • Strong database troubleshooting and analytical Problem-solving skills are required. MS Office and Excel skills (Generation of reports, VBA, and others)
  • Excellent verbal and written communication skills, able to communicate cross-functionally. Solid written and verbal communication skills.

Preferred Qualifications

  • Experience in advance analytics techniques (R, Python, statistical analysis, etc.). Knowledge of any other programming language will be added advantage (preferably .Net, JavaScript)
  • Knowledge of Analytical Tools & Languages: .NET, Python, R, Statistical Libraries. Knowledge of Machine Learning & Statistics. Clear understanding of Data Warehousing concepts. Knowledge of ETL tools required
  • Knowledge of Semiconductor industry is an added advantage.

Our Commitment

 

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.

We Look Forward to Your Application


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