Headcount Forecasting Analyst – Global Workforce (Hybrid)

LAM RESEARCH Corporation; Tualatin (OR); Hybrid; USD 110,000 - 170,000; Full time

Job summary

Lam Research in Oregon seeks a data-driven analyst to model headcount by role, region, and location, transforming workforce data into actionable insights for long-range capacity planning and executive reviews.

You'll build dashboards and reporting tools to communicate demand and capacity scenarios, collaborate with cross-functional teams, and continuously improve forecasting models and data quality.

Qualifications

• Bachelor's degree in Supply Chain, Operations Management, Data Analytics, Engineering, or related field; 5 years of experience, or 3 years with a Masters, or Ph.D with no experience.
• Five years of Operations related experience in data science, program management, analytics, or similar roles.
• Excellent verbal and written communication with experience influencing stakeholders.
• Demonstrated success in a fast-paced global working environment.
• Strong experience in business analysis, workforce planning, operations analytics, or related analytical role.
• Experience with data profiling, data visualization, dashboard development, and executive-level reporting.
• Strong systems aptitude with the ability to leverage business tools and data platforms to support forecasting and decision-making.

Responsibilities

• Leverage business systems, data sources, and forecasting tools to model required headcount by role, competency, region, and location.
• Collect, profile, validate, and analyze workforce, build plan, process standards, and resource allocation data to identify trends, gaps, and capacity risks.
• Develop data-driven recommendations to support headcount planning, resource prioritization, and executive leadership reviews.
• Build dashboards, visualizations, and reporting tools that clearly communicate workforce demand, capacity constraints, and scenario-based planning outcomes.
• Partner with cross-functional stakeholders to understand global process requirements, role-based workload drivers, and future business needs.
• Support continuous improvement of headcount forecasting models by improving data quality, assumptions, and reporting consistency

Skills

Data analytics

Forecasting

Executive communication

Stakeholder influence

Dashboard development

Education

Bachelor's degree in Supply Chain, Operations Management, Data Analytics, Engineering, or related field

Tools

Forecasting tools

Business systems

Job description

Lam Research in Oregon seeks a data-driven analyst to model headcount by role, region, and location, transforming workforce data into actionable insights for long-range capacity planning and executive reviews.

You'll build dashboards and reporting tools to communicate demand and capacity scenarios, collaborate with cross-functional teams, and continuously improve forecasting models and data quality.