Spares Planning Analyst

Posted Yesterday
Be an Early Applicant
2 Locations
In-Office
78K-114K Annually
Senior level
Hardware
The Role
Analyze complex business data to identify trends, risks, and opportunities; build Power BI dashboards, data models, predictive analytics, forecasting tools, and automated reports using SQL and Python. Support inventory optimization, supply-demand balancing, and aftermarket operations while partnering with planning, supply chain, finance, operations, and IT teams. Translate business needs into analytics solutions, present recommendations to stakeholders, and contribute to cross-functional process improvement and business intelligence initiatives.
Summary Generated by Built In

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.

Key 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.

Preferred Qualifications:

  • 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.

  • 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.

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 - $114,133.00 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 family care and bonding leave.
Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.


Use of AI Statement 

At KLA, our interviews seek to understand your individual skills, problem-solving approach and authentic thinking. To ensure a fair and consistent evaluation, the use of AI, recording tools or other technologies to generate, suggest or provide responses during interviews—whether virtual or in person—is not permitted unless explicitly approved in advance as part of a reasonable accommodation or invited by the interviewer. Use of these tools may interfere with our ability to evaluate your individual qualifications and affect your candidacy. KLA is committed to advancing innovation through responsible AI, and we value candidates who share this mindset.


Equal Opportunity Statement

KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at [email protected] or at +1-408-352-2808 to request accommodation.


For additional information, view the US Know Your Rights poster on the U.S. Equal Employment Opportunity Commission website.

Skills Required

  • Bachelor's degree in Computer Science, Statistics, Data Analytics, or a related field with 5 or more years of relevant experience
  • Master's degree in a related field with 3 or more years of relevant experience
  • 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
  • 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

KLA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about KLA and has not been reviewed or approved by KLA.

  • Retirement Support — U.S. programs include a formulaic 401(k) employer match with clearly described plan designs in company materials. Consistent plan structure and employer matching signal strong support for long‑term savings.
  • Equity Value & Accessibility — A broad base of employees is eligible for RSUs and can participate in an ESPP, extending ownership beyond executives. Company materials position equity as a core component of total compensation.
  • Strong & Reliable Incentives — A quarterly profit‑sharing program and performance bonuses are outlined in filings, providing regular variable pay opportunities. These incentives complement base pay and equity to lift overall earnings in strong periods.

KLA Insights

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The Company
HQ: Milpitas, CA
10,001 Employees

What We Do

KLA develops industry-leading equipment and services that enable innovation throughout the electronics industry. We provide advanced process control and process-enabling solutions for manufacturing wafers and reticles. In close collaboration with leading customers across the globe, our expert teams of physicists, engineers, data scientists and problem-solvers design solutions that move the world forward.

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