Customer Success

Requirements

• B.A. / B.Sc. in Information Systems, Statistics, Industrial Engineering, or a related field. ​Experience with data analysis tools such as JMP, Python, Power BI, or similar platforms is an advantage.
• Strong proficiency in Microsoft Office applications and the ability to work effectively with multiple software systems and tools.
• Ability to work with and analyze large and complex datasets.
• Excellent written and verbal communication skills.
• High level of English proficiency, both written and spoken.
• Strong analytical mindset with exceptional attention to detail.
• Ability to identify patterns, anomalies, and potential root causes within complex datasets and system behavior.
• Fast learner with the ability to quickly adapt to new tools, technologies, and processes.
• Strong collaboration skills and the ability to work effectively in a cross-functional environment.
• Ability to manage multiple priorities and perform under pressure while meeting tight deadlines.
• 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.
• 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.
• We offer a competitive, family friendly total rewards package.
• We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees.