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

• Build business reports and automations that will improve business outcomes.
• Develop analytics/dashboards to evaluate the business, identify opportunities and problem areas, and make recommendations
• Analyze large data sets to extract meaningful data-based insights
• Work with a wide range of stakeholders and across multi-functional teams to drive results
• Convert business requirements into development specifications
• Work independently and as a team member to complete tasks
• Support the production management team
  
  

• Student with at least 2 year left, working towards a degree in information systems, statistics, or other related field.
• Good analytical and problem-solving abilities.
• Ability to quickly learn new data tools
• Ability to break down and understand complex business problems, define a solution, and implement it
• Familiarity with programming for data analysis such as Python, C#, SQL, or R.
• Solid oral and written communication skills, especially around analytical concepts and methods.
• High-level excel skills
• Knowledge in Power BI, Tableau, Looker, Qlikview or other similar reporting tools a plus