Senior Business Operations Analyst — Hybrid, Data-Driven

Lam Research; Austin (TX); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid work model

Competitive benefits

Job summary

Lam Research is seeking a Business Operations Analyst in Austin, TX to lead data analysis, reporting, and process improvements for global customer operations. You will collate insights, develop metrics, and drive cross-functional initiatives to improve field productivity and service delivery.

The role focuses on forecasting headcount, tracking KPIs, and ensuring smooth hiring and onboarding processes while collaborating with field teams and management to optimize operational efficiency.

Qualifications

• Minimum 8 years of related experience with a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years experience; or equivalent experience.
• Proven ability to analyze data and drive process improvements.
• Experience coordinating cross-functional projects and communicating outcomes.

Responsibilities

• Analyze business demand and translate it into headcount requirements and quarterly forecasting.
• Monitor forecast vs. actual performance and track key KPIs.
• Oversee the hiring process to ensure timely execution.
• Ensure post-hiring training is completed and report on readiness and effectiveness.
• Support field service and operations teams with data-driven insights.

Skills

Data analysis

Process improvement

Forecasting

KPI tracking

Cross-functional

Education

Bachelor's degree

Tools

Excel

SQL

Power BI

Job description

Lam Research is seeking a Business Operations Analyst in Austin, TX to lead data analysis, reporting, and process improvements for global customer operations. You will collate insights, develop metrics, and drive cross-functional initiatives to improve field productivity and service delivery.

The role focuses on forecasting headcount, tracking KPIs, and ensuring smooth hiring and onboarding processes while collaborating with field teams and management to optimize operational efficiency.