Business Insights Engineer

KLA • Ann Arbor, MI

1d

About The Position

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. Group/Division The 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.

Requirements

• Doctorate (Academic) Degree and related work experience of 3 years; Master's Level Degree and related work experience of 6 years; Bachelor's Level Degree and related work experience of 8 years

Nice To Haves

• Bachelor’s or Master’s degree in data science, Data Analytics, Information Technology, or a related quantitative field.
• Experience working in Business Operations, Finance, Analytics, and/or Information Technology, supporting data‑driven decision‑making.
• Strong proficiency in SQL and data visualization tools such as Power BI and/or Tableau.
• Demonstrated experience with at least one programming or scripting language (e.g., Python, R, or similar) for data analysis and solution development.
• Familiarity with developing or enabling AI‑driven solutions, including exposure to AI agents, intelligent assistants, or automation workflows for business insights.
• Strong communication and teamwork skills, with the ability to effectively bridge technical and non‑technical team members.
• Demonstrated curiosity and continuous learning outlook, with knowledge of—or strong interest in—the the latest trends in the data and AI ecosystem, including evaluating and experimenting with new tools, techniques, and frameworks.

Responsibilities

• Analyze datasets to generate actionable business insights and identify, define, and supervise key performance indicators (targets).
• Develop, and maintain reports, dashboards, and data products that enable timely, data‑driven decision‑making.
• Partner cross‑functionally with business collaborators and IT teams to build, plan, and implement data products and analytics programs; serve as a liaison between business and technology.
• Proactively surface insights and build scalable tools, and self‑service capabilities that empower partners to independently access and act on data.
• Ensure Service data standards are consistently implemented across data products, including (but not limited to) object‑level security, row‑level security, UI/UX standards, and governance requirements.
• Compose and enable AI‑driven solutions, including the development and deployment of AI agents that automate insights generation, answer business questions, assist decision‑making, and enhance operational workflows.
• Collaborate with business and technical teams to find opportunities where AI agents and sophisticated analytics can improve efficiency, quality, and business outcomes.
• Supply to continuous improvement of analytics, data engineering, and AI practices within KLAS.

Benefits

• KLA’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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees