Labor and Operations Planning Specialist
Amazon · Austin, TX · Supply Chain/Transportation Management
About this role
Amazon is hiring a mid-level Operations Manager based in Austin, TX. The posting calls out experience with SQL, Tableau, Data Structures, Compliance. Compensation is listed at $85,800–$128,600 per year.
- Role
- Operations Manager
- Function
- operations
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Austin, TX
- Department
- Supply Chain/Transportation Management
- Posted
- Jan 27, 2026
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Job description
from Amazon careersAmazon is seeking an experienced Labor and Operations Planning Specialist to analyze and optimize labor planning and operations across our food manufacturing facilities. This individual contributor role combines workforce analytics, capacity planning, and operational efficiency expertise to ensure our manufacturing sites are properly staffed to meet production demands while maintaining cost-effectiveness and operational excellence. This role includes stretch leadership opportunities including mentoring, influencing cross-functional teams, and driving strategic initiatives. Key job responsibilities Labor Planning Workforce Analytics • Develop and maintain comprehensive labor plans for multiple food manufacturing facilities based on production forecasts, historical data, and operational requirements • Analyze workforce capacity needs and create staffing strategies that balance production demands with cost optimization • Create labor forecasting models using production volume data, associate performance rates, attendance patterns, and attrition trends • Support the rhythm of labor planning, ordering, and hiring lifecycle to ensure adequate staffing across all facilities • Coordinate with Workforce Staffing (WFS) teams to provide data-driven hiring recommendations and minimize gaps in labor hours • Develop and maintain labor planning assumptions including rates, attendance, attrition, and productivity metrics Operations Planning Analysis • Analyze manufacturing operations data to identify opportunities for labor efficiency improvements and cost reduction • Create…