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Amazon Brazil is seeking a Capacity Planning Analyst to support labor and operational capacity planning for First Mile in Brazil. You will help ensure adequate headcount to process inbound volumes while tracking productivity with regional HR and finance collaboration.
You will build planning tools and dashboards, document workflows, and support weekly planning reviews to improve capacity visibility and decision making across SPCs.
Description
We are looking for a detail-oriented and proactive Capacity Planning Analyst to support the Under-the-Roof (UTR) labor and operational capacity planning for Amazon Logistics First Mile in Brazil. In this role, you will support labor planning across all Seller Processing Centers (SPCs), helping ensure adequate headcount is deployed to process inbound volumes while tracking productivity metrics.
You will work under the guidance of the Capacity Planning Manager, collaborating with regional UTR operations leaders, HR teams, and finance. This is a high-growth role with clear development path — you will gain deep exposure to workforce planning and operational capacity management while contributing to the formalization of UTR capacity processes.
Support the weekly UTR labor capacity planning cycle: gather inputs, update headcount requirement spreadsheets, and coordinate staffing plans with regional managers
Maintain and update the UTR capacity model based on demand signals (S&OP forecast), converting volume projections to headcount using productivity calculators
Collect and maintain node-level information: document each SPC's automation level, infrastructure constraints (conveyor systems, shared facilities), shift patterns, and productivity benchmarks
Engage with UTR operation leaders in all regions and SPCs to validate labor capacities, productivity assumptions, and operational constraints
Identify and document characteristics of each node that impact capacity planning (e.g., stations with more or less automated processes, collocated FM/LM nodes, seasonal workforce constraints)
Track and report UTR capacity metrics: headcount plans, productivity trends, plan-vs-actual variance, and cost-per-unit across SPCs
Build and maintain planning tools, dashboards, and reports for UTR capacity visibility
Document current-state workflows and contribute to process improvement initiatives by benchmarking against Last Mile UTR planning practices
Prepare data and materials for weekly FM Capacity Planning review meetings
Review prior week’s UTR performance (planned vs. actual headcount, productivity per SPC). Flag nodes with significant variances to your manager and regional ops leads.
Update weekly UTR labor plan based on latest S&OP forecast. Convert volume projections to headcount using productivity calculators. Distribute plans to regional managers.
Work on improvement projects (node characterization assessments, productivity benchmarking, capacity constraint formalization).
Prepare weekly capacity summary and support the FM Capacity Planning review meeting. Highlight staffing risks and productivity gaps for the following week.
The AMZL Capacity Planning team is responsible for ensuring Amazon Logistics Brazil has the right resources at the right time across the delivery network. We plan volume, labor, and transportation capacity for Last Mile and First Mile operations, balancing customer demand with cost efficiency. Our team works cross-functionally with operations, network design, finance, and S&OP to translate demand forecasts into executable capacity plans. We are expanding our scope to include end-to-end First Mile capacity planning - covering both Under-the-Roof and On-the-Road - as we build a more integrated and data-driven planning function.
Speak, write, and read fluently in English
Bachelor's degree in a quantitative field (engineering, economics, math, and statistics), business or equivalent
Can demonstrate proficiency in Microsoft Excel or equivalent spreadsheet tools
Experience working with data analytics and using these metrics to identify problems, or experience in an operational role
Experience that includes strong analytical skills, attention to detail, and effective communication abilities
Internship or 1+ year of experience in workforce planning, operations analysis, or supply chain planning
Eagerness to learn, take ownership, and grow into increasing levels of responsibility
Experience in manufacturing, process, or industrial engineering
Experience with data analysis tools such as Advanced Excel, SQL, Tableau, Python
Knowledge of data visualization tools such as Quick Sight, Tableau, Power BI or other BI packages
Experience in logistics, or experience in an operational role
Demonstrated ability to learn quickly and work autonomously after initial ramp-up
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.