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.

Enterprise Analytics Lead

Date: Jun 30, 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 Summary

As analytics lead at Lam Research you will be responsible for designing and developing the data, reporting and advanced analytics data models and assets in highly scalable fashion across the enterprise to support the business needs and collaborate 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 GIS COE data principles, standards, strategies.

Job Responsibilities
  • Analyze, design, develop and deliver big data centric analytics solutions and applications including statistical data models, reports, and dashboards in Microsoft/Azure tech stack
  • Define, maintain and promote the advanced analytics standards and processes as part of GIS Center of Excellence across the company
  • Demonstrate the new capabilities of advanced analytics to business and technology teams to show the potential of the Data Fabric platform
  • Offer insight, guidance, and direction on the usage of emerging data analytics trends and technical capabilities
  • Design and develop Advanced Analytics applications using Power BI, Synapse, SQL Warehouses including ETL pipelines using Microsoft Azure Platform
  • Develop collaborative relationships with key business sponsors and IT resources for the efficient resolution of work requests
  • Utilize technical and domain knowledge to develop and implement effective solutions; provide hands on mentoring to team members through all phases of the Systems Development Life Cycle (SDLC) using Agile practices
Minimum Qualification
  • 8+ years of MS SQL experience with data modeling and some Python background
  • 5+ years of experience in Designing, building the advanced Analytics Solutions using Power BI and other BI tools
  • 4+ years of experience in working with Microsoft Azure and strong knowledge about ADLS, Blob Storage, Data Factory, SQL Server and Warehouses
  • 5+ years of building and launching new data models that provide intuitive analytics for the analysts and customers
  • Strong experience working with and analyzing large datasets, within the relevant domains of IoT and enterprise data.
  • Must have strong experience in Data Warehouse ETL design and development, methodologies, tools, processes and best practices
  • Communication and presentation experience with proven track record of using insights to influence executives and colleagues
  • Strong Computer Science and Mathematics background preferred
  • Excellent query writing skill and communication skills preferred
Education

Bachelor’s Degree in Computer Science, Information Technology, MIS, Data Science, Analytics or in a relevant Engineering discipline. Masters or Phd preferred.

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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