Not specified; not specified; competitive total re...
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2nd year bsc student in analytical field
Strong english communication skills
Availability for 20+ hours per week
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KLA is seeking a motivated second-year student to join their Operations Analytics team as a Student Business Analyst. The role involves using data and AI tools to analyze business operations, improve efficiency, and support decision-making, while offering mentorship and exposure to innovative technologies in a collaborative environment.
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Job Summary
This role offers meaningful work from day one where you will use data and AI to help improve daily operations and support business decisions.
You will build and maintain dashboards using Power BI and Excel while collaborating with cross-functional teams on process mapping and gap identification.
The position provides mentorship from experienced professionals in a collaborative, high-performance environment focused on digital transformation and enterprise AI adoption.
Matching Summary
Match Score: 75
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KLA is seeking a motivated second-year student to join their Operations Analytics team as a Student Business Analyst. The role involves using data and AI tools to analyze business operations, improve efficiency, and support decision-making, while offering mentorship and exposure to innovative technologies in a collaborative environment.
**
Salary
Not specified; Not specified; Competitive total rewards package mentioned
Skills & Requirements
Must-have
2nd year BSc student in analytical field
Strong English communication skills
Availability for 20+ hours per week
High proficiency in Excel and pivot tables
Strong analytical skills and attention to detail
Nice-to-have
Curiosity and hands-on interest in Generative AI
Experience with Microsoft Copilot or Power Platform
Familiarity with Power BI and SQL basics
Programming exposure in Python or VBA
Experience working with SAP or enterprise data
Key Requirements
Must be a 2nd year BSc student
Minimum 3 working days availability per week
Degree in Industrial Engineering, Information Systems, or Data Science