Spares Planning Analyst

KLA•Ann Arbor, MI

2d•Onsite

About The Position

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 innovative Aftermarket Business Data Analyst to support strategic decision-making across our global service and aftermarket operations. In this role, you will transform complex business data into actionable insights that drive operational excellence, inventory optimization, forecasting accuracy, and business performance. The ideal candidate combines strong technical and analytical capabilities with business acumen and effective communication skills. You will partner closely with Demand Planning, Supply Chain, Operations, Finance, and IT teams to develop data-driven solutions that improve key business outcomes and support strategic initiatives.

Requirements

5 years of related with experience with a bachelor's degree; or 3 years experience with a master’s degree; or equivalent experience
Strong proficiency in data analysis, visualization, and reporting tools.
Advanced analytical and problem-solving skills.
Excellent communication and stakeholder management abilities.
Demonstrated success leading or supporting cross-functional business initiatives.

Nice To Haves

Experience with Power BI, DAX, Power Query, Plotly, Python, SQL, Snowflake, or SAP HANA.
Knowledge of supply chain planning, demand forecasting, inventory optimization, and service operations.
Experience in high-mix, low-volume manufacturing environments.
Understanding of MRP processes, BOM structures, FRU planning, and aftermarket operations.
Experience building predictive models and advanced analytical frameworks.
Familiarity with modern analytics and AI tools, including Claude Code, Copilot, and other data automation technologies.
Bachelor's degree in Computer Science, Statistics, Data Analytics, or a related field with 5+ years of relevant experience OR Master's degree in a related field with 3+ years of relevant experience.

Responsibilities

Analyze large and complex datasets to identify trends, risks, opportunities, and root causes impacting business performance.
Develop and maintain Power BI dashboards, reports, and visualizations that enable data-driven decision-making across the organization.
Partner with stakeholders to gather requirements, define business needs, and translate those needs into scalable analytics solutions.
Serve as a bridge between business and technical teams, ensuring alignment on requirements, capabilities, and project objectives.
Build data models, predictive analytics, and forecasting tools to improve planning and operational effectiveness.
Write and optimize SQL queries and leverage Python or other analytical tools to automate reporting and perform advanced analyses.
Support inventory optimization, fill-rate performance, supply-demand balancing, and forecasting initiatives.
Present findings and recommendations to audiences ranging from operational teams to senior leadership.
Lead and contribute to cross-functional projects focused on process improvement, business intelligence, and operational excellence.