Hub Expansion Analyst

Há 4 dias

São Paulo, São Paulo, Brasil Amazon Tempo inteiro
The goal of Amazon Logistics is to build a world class last mile operation. Amazon aims to exceed the expectations of our customers by ensuring that their orders are delivered quickly, accurately, and in the most cost-effective way possible. Brazil Amazon Logistics (AMZL) is in an exciting phase of building a large-scale logistics network, addressing the toughest last-mile challenges.
We are looking for creative contributors with a passion for high complex challenges, a knack for problem solving, and the ability to thrive in a fast-paced environment. Amazon Logistics is looking for a Logistics Data Analyst to be a part of the team that drives the expansion of the Amazon Hub network across the country.
The Amazon Hub structure is an AMZL hybrid operation that uses partner small companies to carry out AMZL's urban logistics in high-risk, low-density and remote areas, through the use of AMZL's main technologies and processes, aiming for the best service in the category to our customers in Brazil.
We are looking for a professional passionate about data analysis, with strong SQL and Python skills, and enthusiasm for working with the latest automation technologies.
Key job responsibilities
- Collect, process, and analyze large datasets using SQL and Python
- Develop and maintain dashboards and reports for key stakeholders
- Collaborate with cross-functional teams to understand business needs and provide actionable insights
- Automate data collection and analysis processes
- Identify trends and patterns in data to support strategic decision-making
- Contribute to continuous improvement of data analysis processes and methodologies
BASIC QUALIFICATIONS
- Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering or related field
- Previous experience in data analysis or similar role
- Proficiency in SQL for complex data querying and manipulation
- Strong knowledge of Python, including pandas and numpy libraries
- Experience with data visualization tools (e.g., Tableau, Power BI)
- Advanced English
- Ability to communicate technical insights to non-technical audiences
PREFERRED QUALIFICATIONS
- Experience with end-to-end project management
- Knowledge of a modern programming language (Ruby, Java, Python, or C#)
- Experience with agile methodologies

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