Labor Planning Engineer — Data-Driven Standards

Amazon; Arlington (VA); On-site; USD 74,000 - 130,000; Full time

Job summary

Amazon is seeking a Labor Engineering PM II in Arlington, VA to drive time studies, workflow observations, and labor standard development for staffing models across store formats. You will partner with store operations to observe, measure, and document work processes, translating field observations into data-driven standards.

You will analyze task-level data, develop repeatable methodologies, and present findings with data-backed rationale.

Qualifications

• Bachelor's degree in Industrial Engineering, Operations Research, Business, or related field.
• 3+ years of labor engineering/ workforce planning experience.
• Strong time study methodologies and data-driven analysis.

Responsibilities

• Conduct time and motion studies across store departments to establish and validate labor standards.
• Perform on-site and remote workflow observations to document task sequences, durations, and frequency.
• Apply appropriate allowance factors to develop fair and accurate standard times.
• Develop, document, and maintain labor standards for assigned store departments or process areas.
• Analyze task-level data to identify variances between actual and standard performance.
• Update standards based on process changes, new store formats, or operational shifts.
• Validate standards through periodic re-observation and data analysis.
• Perform quantitative analysis on labor data to identify trends, outliers, and opportunities for standards improvement.
• Build and maintain reporting tools to track standards accuracy and coverage across assigned areas.
• Present findings and recommendations to team leadership with clear, data-backed rationale.
• Create and maintain detailed process documentation (SOPs, task breakdowns, flow diagrams) for observed workflows.
• Ensure documentation is clear, auditable, and accessible to stakeholders.
• Contribute to WFE's methodology standards to ensure consistency across the team.
• Partner with store operations teams to schedule observations, gather context, and validate findings.
• Coordinate with other Labor Engineers to ensure standards align across departments and formats.

Skills

Program management

Data analysis

Cross-functional collaboration

Time study techniques

Excel proficiency

Communication skills

Education

Bachelor's degree in Industrial Engineering, Operations Research, Business, or relevant field

Tools

SQL

Python

Kronos

UKG Pro

Job description

Amazon is seeking a Labor Engineering PM II in Arlington, VA to drive time studies, workflow observations, and labor standard development for staffing models across store formats. You will partner with store operations to observe, measure, and document work processes, translating field observations into data-driven standards.

You will analyze task-level data, develop repeatable methodologies, and present findings with data-backed rationale.