Aftermarket Business Data Analyst

Company OverviewKLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.Group/DivisionThe KLA Services team headquartered in Milpitas, CA is our service organization that consists of Service Sales and Marketing, Spares Supply Chain management, Field Operations, Engineering, Product Training, and Technical Support. The KLA Services organization partners with our field teams and customers in all business sectors to maintain the high performance and productivity of our products through a flexible portfolio of services. Our comprehensive services include: proactive management of tools to identify and improve performance; expertise in optics, image processing and motion control with worldwide service engineers, 24/7 technical support teams and knowledge management systems; and an extensive parts network to ensure worldwide availability of parts.Job Description/Preferred QualificationsKLA 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 ResponsibilitiesAnalyze 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 ORMaster'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 Qualifications5 years of related with experience with a bachelor's degree; or 3 years experience with a master’s degree; or equivalent experienceBase Pay Range: $77,800.00 - $132,300.00 AnnuallyPrimary Location: USA-MI-Ann Arbor-KLAKLA’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.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 View email address on click.appcast.io or at View phone number on click.appcast.io to request accommodation.Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA’s Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to View email address on click.appcast.io to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information. SummaryLocation: Ann Arbor, MI; Chandler, AZType: Full time