Business Systems Analyst 5

The group you’ll be a part of

The Global Operations Group brings information systems, facilities, supply chain, logistics, and high-volume manufacturing together to drive the engine of our global business operations. We help Lam deliver industry-leading solutions with speed and efficiency, while actively supporting the resilient and profitable growth of Lam's business.

Global Operations, Global Operations Quality, Global Manufacturing Quality

The impact you’ll make

As a Business Systems Analyst at Lam, you'll analyze complex business problems and craft automated system solutions for GOPS Manufacturing Quality. You'll bridge gaps, provide technical expertise to translate business requirements into functional system specifications. Your contributions within dynamic cross-functional teams are essential in supporting Lam’s Digital transformation journey. 

In this role, you will directly contribute to Quality Analytics.

What you’ll do

• Monitor and anticipate evolving business and operational needs to inform and prioritize a roadmap of Quality analytics to support operations.
• Define and manage the analytics development process covering project intake, requirements management, interface with development resources, consultation on ETL process (semantic model), Interim reviews, validation and user acceptance.
• Translate and document business requirements into functional specifications, process flows, entity relationship diagrams to visualize performance.
• Ensure data integrity through the reinforcement of appropriately rigorous development standards and effective assessment of both source data reliability and deficiencies.
• Drive accelerated realization of the Quality analytics roadmap for the Global Factory Network, in alignment with business strategy and quality objectives.
• Steer Quality-related analytics ecosystem toward the utilization of advanced analytics where viable, leveraging statistical inference and predictive analytics to improve operational execution.
• Mentor and coach quality engineers and analysts across the factory network to leverage the available analytics and to extend them as needed to meet the information needs of the quality function and our operations partners.
• Work closely with Global Business Information Systems (GBIS) staying abreast of changes in policies, enterprise applications and backend system used by our analytics assets to access data driving dashboards
• Build and maintain subject matter expertise in emerging analytics development methods and tools ensuring GOPS Quality remains a leader in the agile adoption of best-in-class practices 
• Advocate for changes as appropriate to business processes and Operations / Quality information systems to enable enhanced analytics capabilities
• Perform and lead hands-on solution design, prototyping, proof-of-concepts, process design and development in support of current and new projects.
• Assess the risks of various solutions looking across multiple applications.

Who we’re looking for

Minimum Qualifications:

• Bachelor’s degree with 10+ years of experience; or Master’s degree with 5+ years’ experience; or equivalent experience. 
• 8+ years of related experience in developing Business/Operations/Quality analytics.
• Skilled in analytical techniques and practices to support problem solving. 
• Excellent communication, both written and verbal, for various levels and audiences.
• Intermediate skills in SQL query development and exploratory data analysis (EDA)
• Experience with Microsoft Power BI or equivalent visualization environments
• Familiar with ISO 9K and ISO Quality Management System principles

Preferred qualifications

• Project management knowledge or experience in manufacturing, new product introduction and quality management practices is beneficial.
• Experience with SQL and databases. 
• Direct experience with advanced analytics methodologies (inferential statistics, supervised and unsupervised machine learning)
• Intermediate skills in a scripting language such as python / R
• Proven ability to solve complex technical challenges and deliver innovative analytics to inform sound decision making

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.