Operations Embedded Business Analyst 4

Overview

LIDAS (Lam India Data Analytics and Sciences) team is responsible to provide best-in-class analytics solutions that help improve business decisions in Global Operations and other business sub-functions across Lam. This Organization, a “Centre of Excellence” (CoE), consists of a high-performing team of experts who collaborate cross-functionally and provide analytics solutions to various business functions to suit their business needs. This team strives to improve the productivity & efficiency of business processes through business analytics, data science & automation projects. The resulting projects help accelerate businesses/stakeholders in decision-making by providing data insights. The team continuously develops the required technical skills and business acumen to help solve complex business problems & Use Cases in the semiconductor, manufacturing, and supply chain domains for the company

Eligibility Criteria

• Years of Experience: Minimum 12 years
• Job Experience: Should have worked as a Business Analyst for Data Science enterprise-wide sustainable solutions, BI Applications, and Analytics. Preferrable if worked in Multinational Hi-Tech or Manufacturing industry, service, operations or manufacturing functions as business analyst. Should have worked with teams across the globe.
• Educational: Master's or Ph.D. in Business Administration, Computer Science, Data Science, or a related field.
  
  

• Conduct stakeholder interviews to gather insights and requirements.
• Provide recommendations for process optimization and automation.
• Facilitate workshops and meetings to drive alignment and decision-making.
• Maintain an active backlog of analytics project requirements for the function.
• Work closely with business program team and function analytics leader for prioritization of backlog.
• Gather and synthesize business requirements to define future state and/or business solutions.
• Develop and maintain documentation of business processes and systems.
• Define epics clearly stating the user role, business requirements, business outcome and benefits.
• Define quantifiable business benefits – estimates and track actual realization of benefits.
• Report delivery performance metrics to the council members in council meetings.
• Act as a bridge between development team and business function team.
• Help resolve queries by development team promptly to ensure correct solutions are developed on time.
• Work with technical team for evaluating and shaping solution proposals for business requirements.
• Actively work on Sprint Planning with development team.
• Create and deliver presentations to communicate findings and recommendations.
• Represent the development team in council prioritization meetings
• Update Jira for epics and user stories.
• Track sprint progress, report impediments.
• Help resolve impediments by connecting with relevant stakeholders.
• Hands on work on Ad hoc Data Analytics requests (one time analysis)
• Should not develop operational systems on his/her own but leverage development team for the same.
• Should be able to write SQL queries on his/her own to perform Ad hoc analysis (only).
• Facilitate User Acceptance Testing for the solutions developed by the development team.
• Work with Information technology team for data model standardization – single source of truth.
• Adhere to Enterprise Architecture, Enterprise Information Security while envisioning solutions.
• Educate business users on new solutions – training.
• Collaborate with cross-functional teams to drive process improvements.
• Research industry trends and best practices to inform decision-making.
• Engage with multiple teams and contribute on key decisions.
• Expected to provide solutions to problems that apply across multiple teams.
• Conduct thorough analysis of business processes and systems.
• Assess the current state of the organization and identify areas for improvement.
• Provide strategic direction for the integration of advanced analytics, machine learning, and AI technologies.
• Select and evaluate data science tools, frameworks, and platforms to build a cohesive and efficient data science ecosystem.
• Foster a collaborative environment that encourages cross-functional innovation.
• Establish monitoring mechanisms to track model performance and address issues proactively.
• Responsible for delivering quick / ad hoc proof of concepts and bringing data insights by using different complex data, and multiple data sources.
• Responsible to Provide functional leadership for developing end-to-end solutions and offering hands-on guidance.
  
  

• • Expected to be a Subject Matter Expert for at least 2 for following functions: Manufacturing, Quality, Order Management, Inventory, Logistics, Supply Chain functions with deep knowledge and experience.
  • Experience in delivering descriptive and advanced analytics solutions in cloud environment (Azure) .
  • Should be hands on for ad hoc analysis – should be knowing data sources, SQL, proficient in Microsoft Excel and PowerPoint
  • Should be proficient in prompt engineering.
  • Should be on top of the latest in Advanced Analytics technological advances.
  • Should have a track record of successfully implementing complex Analytics/Automation/AI/ML/DL enterprise-wide solutions.
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Hadoop, Spark).
  • Hands-on working experience in project management and agile methodologies. Tools like MS Project, etc.
  • Good skills in managing Stakeholders’ (internal and external) Expectations.
  • Strategic thinker with the ability to align technical solutions with business objectives.
  • Excellent communication and leadership skills.
  • Strong problem-solving and decision-making abilities.
  • Ability to thrive in a dynamic and collaborative work environment.
    

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.