Installed Base Data Analyst: Field Service Insights

Lam Research

Austin (TX)

Hybrid

USD 90,000 - 120,000

Full time

14 days+
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Job summary

Lam Research in Austin, TX is seeking a Field Service Engineer to ensure operational excellence of our semiconductor equipment. You will analyze site availability, equipment and service data, build dashboards, and translate data into actionable decisions to improve service performance.

The role requires a bachelor’s degree in Electronics, Engineering, or related field with 5+ years of experience (or a Master’s with 3+ years), experience in semiconductor capital equipment, and willingness to

Qualifications

  • Bachelor’s degree in Electronics, Engineering, or related field with 5+ years of experience; or Master’s degree with 3+ years; or equivalent work experience.
  • Experience in installation, maintenance, repair, or troubleshooting of semiconductor capital equipment.
  • Proficiency in interpreting electrical and mechanical schematics, diagrams, and operation manuals.
  • Able to work in a clean room environment while wearing PPE or cleanroom suit.
  • Frequent physical tasks and ability to travel domestically and internationally with flexible shifts.

Responsibilities

  • Analyze Site Availability, Equipment, and Service Data
  • Review data, join daily pass down, ensure correct logging, prepare weekly summaries, align with customer
  • Improve Field Service Operations: create systems to track PM GtG, delays, and summarize data to improve efficiency
  • Create Dashboards and Reporting for above needs
  • Translate Data into Operational Decisions

Skills

Interpreting schematics
Clean room work
Willingness to travel
Communication skills

Education

Bachelor’s degree in Electronics, Engineering, or related field

Tools

Microsoft Office

Job description

Lam Research in Austin, TX is seeking a Field Service Engineer to ensure operational excellence of our semiconductor equipment. You will analyze site availability, equipment and service data, build dashboards, and translate data into actionable decisions to improve service performance.

The role requires a bachelor’s degree in Electronics, Engineering, or related field with 5+ years of experience (or a Master’s with 3+ years), experience in semiconductor capital equipment, and willingness to

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