Supply Chain Spares Planning Analyst

To make electronics, you need chips, wafers, transistors, reticles, and... To make these, you must see, test and manufacture them at scale—faster and better than ever before. That's where KLA comes in. Whether you're early in your career or an experienced professional, you'll solve complex challenges, work alongside brilliant minds and help shape the future of technology. Group/Division The KLA Services team consists of Service Sales, Marketing, Spares Supply Chain Management, Field Operations, Engineering, Product Training, Digital Solutions and Analytics, and Technical Product Support. Our services organization maximizes the value of our customers' KLA assets – with highly trained service and product support engineers providing installation services and 24/7 technical support and parts delivery through our extensive supply chain network. What You'll Do In this role, you will play a key part in advancing business priorities by delivering high-impact work across your area of expertise. KLA is seeking a highly analytical and results-oriented Supply Chain Planning Analyst to support strategic planning and execution across our global aftermarket and service supply chain. This role is focused on optimizing inventory, improving forecast accuracy, enhancing supply-demand planning processes, and driving operational performance through data-driven decision making. The ideal candidate combines deep experience in supply chain planning with strong technical capabilities in SQL and Python. This individual will partner closely with Demand Planning, Supply Planning, Operations, Finance, and IT teams to analyze complex planning challenges, identify improvement opportunities, and implement scalable solutions that improve service levels and business performance. Key Responsibilities: • Analyze supply chain and service operations data to identify trends, risks, constraints, and opportunities impacting inventory, forecast accuracy, service levels, and operational performance. • Support demand planning, supply planning, capacity planning, and inventory optimization processes for global aftermarket operations. • Develop analytical models and planning tools that improve forecasting accuracy, inventory positioning, and supply-demand balancing. • Utilize SQL, Python, and visualization tools to automate analyses, streamline planning processes, and improve decision-making capabilities. • Perform scenario analysis and root-cause investigations related to forecast variance, excess and obsolete inventory, shortages, and service performance. • Partner with planners and business stakeholders to develop actionable recommendations that improve inventory turns, fill rates, and operational efficiency. • Leverage ERP, planning, and transactional data to provide insights that support strategic inventory and service supply chain decisions. • Monitor key planning and operational metrics and communicate findings to leadership and cross-functional stakeholders. • Drive continuous improvement initiatives focused on planning processes, forecasting methodologies, inventory management, and aftermarket supply chain performance. • Collaborate with IT and data teams to enhance data quality, planning system capabilities, and analytical infrastructure. Preferred Qualifications: • 5+ years of experience in Supply Chain Planning, Demand Planning, Inventory Planning, Materials Planning, Service Parts Planning, or Supply Chain Analytics. • Strong hands-on experience using SQL and Python to analyze large datasets and solve complex supply chain planning challenges. • Experience supporting inventory optimization, demand forecasting, service parts planning, replenishment planning, and supply-demand balancing. • Knowledge of planning concepts including: Forecasting Safety stock management Service level optimization Inventory segmentation Capacity planning MRP and ERP systems • Experience working within SAP, SAP HANA, Snowflake, Kinaxis, o9, Blue Yonder, Oracle, or similar planning platforms. • Understanding of aftermarket operations, FRU planning, spare parts planning, and high-mix/low-volume manufacturing environments. • Experience applying statistical analysis, predictive modeling, or machine learning techniques to improve planning outcomes. • Ability to translate complex analytical findings into actionable business recommendations. • Strong stakeholder management and cross-functional collaboration skills. • Bachelor's degree in Supply Chain Management, Industrial Engineering, Operations Research, Mathematics, Statistics, Engineering, Economics, or a related quantitative field with 5+ years of relevant experience; OR • Master's degree in a related field with 3+ years of relevant experience. Minimum Qualifications • 5 years of related with experience with a bachelor's degree; or 3 years experience with a master’s degree; or equivalent experience About KLA We provide advanced inspection tools, metrology systems, process solutions, and computational analytics that make electronics possible, tackling complex challenges. From electron and photon optics to machine learning and data analytics, we seek perfection at the most fundamental level of matter in the universe. If you want to make electronics that push industries forward and make the world a better place, join us. Total Rewards Base Pay Range: $77,800.00 - $132,300.00 Annually Primary Location: USA-MI-Ann Arbor-KLA KLA’s total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and famil