Capacity Planning Analyst, First Mile - UTR (Under-the-Roof), AMZL Capacity Planning

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.

Key job responsibilities
- 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

A day in the life
- 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.

About the team
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.

Basic Qualifications

- 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

Preferred Qualifications

- 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

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