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Join Lam as a Business Operations Analyst, where you'll spearhead process improvement initiatives. With your systems knowledge and business process acumen, you expertly collect and analyze data, evaluate processes, develop metrics, and identify root causes with data-driven indicators for future improvements. Organizing cross-functional project teams, you communicate team progress and survey best practices, showcasing your commitment to operational excellence at Lam.
Job Responsibility:
Collaborate with the Demand Signal Manager to curate and refine product lists and quantities for our optimistic revenue scenarios based on customers' production plans
Develop and implement logic to reconcile optimistic forecasts with existing committed customer orders, ensuring data accuracy and eliminating redundancies
Compare and reconcile multiple data sources to identify overlaps and remove duplicates from forecast models
Apply business rules and logic to refine and adjust forecasted product lists and quantities
Analyze historical sales data to accurately determine revenue projections for various products
Continuously update and improve the accuracy of historical revenue data per product and customer as new information becomes available each quarter
Track and report on the accuracy of our forecasts over time, identifying areas for improvement as they approach actual delivery dates
Contribute to the automation of data processes, striving to create a seamless workflow from raw customer production plans to refined revenue and product forecasts
Requirements:
Strong Analytical Skills: Ability to dissect complex data sets, identify trends, and draw meaningful conclusions
Problem-Solving Acumen: A knack for developing logical solutions to data reconciliation and optimization challenges
Data Manipulation Expertise: Proficiency in working with large datasets from disparate sources, cleaning and transforming data as needed
Attention to Detail: Meticulous in ensuring the accuracy and integrity of data and forecasts
Adaptability & Speed: Ability to work effectively under tight deadlines and prioritize tasks efficiently in a fast-paced environment
Collaboration & Communication: Eagerness to work closely with your manager and other team members, clearly communicating insights and progress
Automation Mindset: A strong desire to build efficient, automated processes to improve speed and accuracy
Nice to have:
Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field
2–5 years of experience in data analysis, preferably in sales operations, manufacturing, supply chain, or semiconductor industry
Strong skills in Excel, SQL, and Python (or similar scripting tools for data manipulation and automation)
Experience with forecasting, demand planning, or revenue modeling
Proficiency in working with large, complex datasets from multiple sources and using data visualization tools (e.g., Tableau, Power BI)
Organized and able to manage time effectively in a fast-paced, deadline-driven environment
Comfortable working with ambiguity and making assumptions based on limited data
Proactive and eager to learn the nuances of semiconductor manufacturing and sales operations
Strong attention to detail, yet capable of seeing the bigger picture