Supply Chain Spares Planning Analyst
kla · Ann Arbor
Job description
About the role
KLA is looking for a highly analytical, results-oriented Supply Chain Planning Analyst to support strategic planning and execution across its global aftermarket and service supply chain. The role focuses on optimizing inventory, improving forecast accuracy, strengthening supply-demand planning and driving operational performance through data-driven decisions. It sits within the KLA Services team, which covers service sales, marketing, spares supply chain management, field operations, engineering, product training, digital solutions and analytics, and technical product support.
Key responsibilities
- Analyze supply chain and service operations data to identify trends, risks, constraints and opportunities affecting inventory, forecast accuracy, service levels and performance.
- Support demand planning, supply planning, capacity planning and inventory optimization for global aftermarket operations.
- Develop analytical models and planning tools that improve forecasting accuracy, inventory positioning and supply-demand balance.
- Use SQL, Python and visualization tools to automate analyses and streamline planning.
- Run scenario analysis and root-cause investigations on forecast variance, excess and obsolete inventory, shortages and service performance.
- Partner with planners and stakeholders to recommend improvements to inventory turns, fill rates and efficiency.
- Leverage ERP, planning and transactional data to inform strategic inventory and service supply chain decisions.
- Monitor planning metrics, communicate findings to leadership and drive continuous improvement in planning and forecasting.
- Work with IT and data teams to improve data quality, planning systems and analytical infrastructure.
Required profile
- 5+ years in supply chain planning, demand planning, inventory planning, materials planning, service parts planning or supply chain analytics; or 3+ years with a Master's degree.
- Strong hands-on experience with SQL and Python on large datasets.
- Knowledge of forecasting, safety stock, service level optimization, inventory segmentation, capacity planning, MRP and ERP.
- Understanding of aftermarket operations, FRU and spare parts planning, and high-mix/low-volume manufacturing.
- Bachelor's degree in a quantitative field with 5+ years of experience, or Master's degree with 3+ years.
Required skills
- SQL and Python
- SAP, SAP HANA, Snowflake, Kinaxis, o9, Blue Yonder, Oracle or similar planning platforms (preferred)
- Statistical analysis, predictive modeling or machine learning applied to planning (preferred)
What we offer
- Base pay range of $77,800 to $132,300 annually depending on role, level and location.
- Possible performance incentives and benefits such as medical, dental, vision, life insurance, 401(k) with company match, ESPP, tuition reimbursement, EAP, paid time off and family care leave.
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Published 4 hours ago
Expires 1 month from now
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kla
Ann Arbor