Student Business Analyst at KLA

Yavne, Center District, Israel -

Full Time

Start Date

Immediate

Expiry Date

18 Jul, 26

Salary

0.0

Posted On

19 Apr, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data analysis, Excel, Power BI, SQL, Python, VBA, SAP, Generative AI, Microsoft Copilot, Process mapping, Gap identification, Data visualization, Automation, Analytical thinking, Communication, Problem solving

Industry

Semiconductor Manufacturing

Description

Company Overview KLA 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. Job Description/Preferred Qualifications About the Role We are looking for a sharp, curious, and highly motivated 2nd-year student to join our Operations Analytics team. This is a hands-on role where you will use data and AI to help improve daily work and support business decisions. If you are analytically minded, communicate well in English, and excited about applying AI tools (especially Microsoft Copilot) to solve business problems - this role is for you. What You’ll Do Analyze operational and business data to uncover trends, insights, and improvement opportunities Build and maintain dashboards and reports (Power BI / Excel) to communicate performance and insights to stakeholders Support cross-functional analysis projects: process mapping, gap identification, and data-driven recommendations Work with enterprise data sources (e.g., SAP and operational systems) to define datasets, validate logic, and ensure usability Help develop automations and “smart” tools that improve efficiency and decision-making Contribute to AI-related initiatives: test use cases, experiment with Copilot, and propose practical ways to improve workflows Required Qualifications (Must Have) 2nd year BSc student in Industrial Engineering, Information Systems, Data Science or a related analytical field Strong English skills (written and verbal) Availability for 20+ hours per week (minimum 3 working days) Strong analytical skills, attention to detail, and ability to learn independently High proficiency in Excel (data analysis, structured models, pivot tables; macros are a plus) Strong communication skills with a can-do mindset Minimum Qualifications Preferred Qualifications (Advantages) AI orientation: curiosity and hands-on interest in Generative AI tools and how they can improve work Experience or strong interest in the Microsoft ecosystem (e.g., Microsoft Copilot, Power Platform, Copilot Studio) Familiarity with Power BI (dashboards, DAX basics) and/or SQL for data querying Programming/automation exposure (Python / VBA) is a plus Experience working with ERP/enterprise data (e.g., SAP) is a strong advantage Why Join Us Meaningful work from day one! real analysis and real impact Exposure to digital transformation and enterprise AI adoption in a large Operations organization Mentorship from experienced professionals in Operations, Analytics, and business experts A collaborative, high-performance environment with strong learning and growth opportunities 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. KLA is proud to be an equal opportunity employer 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 talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information. Now hiring curious minds who want to learn even more. Explore KLA at www.kla.com/careers 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 talent.acquisition@kla.com 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. We do not accept resumes from headhunters, placement agencies, or other suppliers that have not signed a formal agreement with us.

Responsibilities

The student will analyze operational data to uncover insights and build dashboards to support business decision-making. They will also contribute to AI-related initiatives and develop automations to improve workflow efficiency.