Business Operations Analyst 3

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. * 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. 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. 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 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.