Senior Manager - Enterprise Analytics

The Group You’ll Be A Part Of

The Global Information Systems Group is dedicated to the success of Lam through providing best-in-class and innovative information system solutions and services. Together, we support users globally with data, information, and systems to achieve their business objectives. 

The Impact You’ll Make

As Analytics lead in Enterprise Analytics group at Lam Research you will be responsible for leading multiple projects in data analytics space. You will be strategizing, designing, and building the analytics apps and coordinate with the development team, reporting and advanced 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 Analytics principles, standards, strategies.

What You’ll Do

• Use leadership abilities in Analytics COE to drive projects and processes from discovery through delivery
• Define, maintain, and promote the advanced analytics standards and processes as part of GIS Center of Excellence across the company.
• Collaborate with Process leads, Business SMEs of digital transformation program and provide the leadership to define the analytics strategy and execution plan.
• Analyze, design, develop, and deliver analytics solutions and applications including statistical data models, reports, and dashboards in Microsoft Azure tech stack.
• 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.

Who We’re Looking For

• 10+ years of building and launching new data models that provide intuitive analytics for the analysts and customers. 
• 4+ years of experience in designing, building the advanced Analytics Solutions using Power BI/Power Platform and other BI tools.
• 8+ years of MS SQL experience with data modeling and Python background.
• Solid experience in working with Microsoft Azure and strong knowledge about ADLS, Blob Storage, Data Factory, SQL Servers, and Cloud Data Warehouses (Snowflake, Data Bricks, Redshift, BIG Query)
• 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.

Preferred Qualifications

• Bachelor’s degree in computer science, Information Technology, MIS, Data Science, Analytics or in a relevant Engineering discipline. Masters or Phd preferred.
• Certification in Cloud native analytics and data platforms like MS Azure/Power BI
• Project Management and Leadership trainings/certificates

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.

Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.

IND123 #LI-BM1 #LI-Hybrid