Data Analytics Engineer - Service Operations Insights

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.

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.

Job Description/Preferred Qualifications

Key Responsibilities

• Data Processing & Transformation:
  • Build robust ETL pipelines to convert unstructured service reports into structured datasets.
  • Ensure data quality, consistency, and compliance with governance standards.
• Analytics & Modeling:
  • Apply statistical and machine learning techniques to identify trends and predictive patterns.
  • Develop dashboards and reports for KPIs such as service cycle time, resource utilization, and failure analysis.
  • Strong understanding of predictive analytics, data governance, and statistical modeling.
• Automated RAG Pipeline:
  • Design and implement an Automated Retrieval-Augmented Generation (RAG) pipeline to enhance data interpretation and accelerate insights from large volumes of unstructured text.
  • Integrate RAG workflows with existing analytics systems for scalable and efficient query handling.
• Collaboration & Enablement:
  • Partner with field service teams to understand operational pain points and data sources.
  • Consulting with data scientists and analysts on areas to improve scripts and queries
• Automation & Scalability:
  • Implement automated workflows for continuous ingestion and analysis of service data.
  • Optimize models for scalability across global service operations.

Preferred Qualifications

• Proficiency in SQL, SAS, R and Python. Ability to work with structured and unstructured data
• Knowledge on machine learning, advanced mathematics, data conditioning, and working with big data tools
• Exposure to developing quick prototypes for demos, and larger-scale software projects  
• Strong creative thinking and problem-solving abilities
• Team player who thrives in a collaborative environment
• Excellent communication skills and ability to clearly communicate complex technical concepts

Minimum Qualifications

Master's Level Degree and 0 years related work experience; Bachelor's Level Degree and related work experience of 2 years

Base Pay Range: $68,900.00 - $117,100.00 Annually

Primary Location: USA-MI-Ann Arbor-KLA

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 (E