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Capacity Planning Analyst, Amazon Customer Excellence System (ACES)
Capacity Planning Analyst, Amazon Customer Excellence System (ACES)-March 2024
São Paulo
Mar 28, 2026
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About Capacity Planning Analyst, Amazon Customer Excellence System (ACES)

  Description

  The Amazon Logistics (AMZL) Capacity Planning Team provides Ops with solutions for in-station and on-the-road operations, year-round and during seasonal peaks. The ideal candidate is passionate about using data to deliver an actionable plan that impacts the business. They have a strong record of delivering results and are experienced in executing in a cross-functional environment, backed by analysis and data. They enjoy a fast-paced environment, working with large amounts of data, and solving highly complex, ambiguous problems.

  As a Planning Analyst in the Capacity Planning Team, you will be working on the weekly and daily cadence for the generation of labor plans for AMZL delivery stations to make sure the organization is well prepared for the future. You will analyze execution gaps to improve future plans. You will work across teams to ensure that decisions are made for the business as a whole. The impact of this position is tremendous, making decisions that will affect the entire country network of one of the largest companies in the world. A proven track record of sound judgement is a must. At Amazon, you will be encouraged to use this judgement as you grow and nurture your career.

  Key job responsibilities

  You will work with the Supply Chain team to turn volume inputs into labor plan outputs on a weekly and daily cadence. You will be responsible for the continuous improvement of this process and analyzing and reporting results to the business. Working with Finance, Ops, and others, you will ensure that your plan is precise, actionable, cost-optimal, and constantly improving.

  Our inclusive culture empowers Amazonians to deliver the best results for our customers. We not only celebrate the diversity of our workforce, we celebrate the diverse ways we work. If you would like to request an accommodation for the interview or onboarding process, please let our team know and we will connect you to our accommodation team.

  A day in the life

  You will:

  Work with teams across Amazon to turn volume forecast inputs into an executable plan output;

  Interact with stakeholders across the AMZL network to ensure Day of Delivery plan execution is optimal;

  Support leadership with important data analytics to ensure prompt and precise decision-making.

  About the team

  Amazon Logistics (AMZL) is Amazon's "Last Mile" delivery service, responsible for delivering packages (and smiles) to homes and businesses across the planet. Within AMZL, the Amazon Customer Excellence System (ACES) team leads the way in driving the benchmarking, standardization and continuous improvement of processes and programs within our delivery station network. We are accountable for quality, productivity, safety, and the information and tools that support mission-critical decisions. We will raise the bar on customer experience while lowering costs and supporting our rapid growth.

  We are open to hiring candidates to work out of one of the following locations:

  Sao Paulo, SP, BRA

  Basic Qualifications

  Bachelor's degree in supply chain, business, engineering, finance or related technical or quantitative field

  Experience with Excel

  Experience in data mining

  Experience with Six Sigma tools and Lean techniques

  Experience with supply chain, logistics, transports, warehouse planning, inventory planning in Operations such as e-commerce industry, manufacturing and co related areas

  Advanced level knowledge in English and Fluent in Portuguese (able to read and speak)

  Preferred Qualifications

  Knowledge of Lean principles and DMAIC methodology

  Experience with SQL

  Experience in requirement gathering and ability to write clear and detailed requirement document

  Master's degree in supply chain, business, engineering, finance or related technical or quantitative field

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