Hub Expansion Analyst - Data Analysis, Hub Operations BR

Amazon; São Paulo; Presencial; BRL 30.000 - 70.000; Tempo integral

Resumo da oferta

Uma empresa inovadora está em busca de um Analista de Dados Logísticos para integrar sua equipe em um ambiente dinâmico e desafiador. Este papel é essencial para impulsionar a expansão da rede de Hubs da empresa no Brasil, utilizando habilidades avançadas em SQL e Python para coletar e analisar grandes volumes de dados. O candidato ideal será apaixonado por análise de dados e terá a oportunidade de colaborar com equipes multifuncionais, automatizar processos e identificar tendências que influenciam decisões estratégicas. Se você está pronto para enfrentar desafios complexos e contribuir para a melhoria contínua em uma cultura inclusiva, esta é a oportunidade perfeita para você.

Qualificações

• Experiência anterior em análise de dados ou função similar.
• Proficiência em SQL e forte conhecimento de Python.

Responsabilidades

• Coletar, processar e analisar grandes conjuntos de dados usando SQL e Python.
• Desenvolver e manter painéis e relatórios para partes interessadas.

Conhecimentos

SQL

Python

Data Analysis

Problem Solving

Data Visualization

Communication Skills

Project Management

Formação académica

Bachelor's degree in Computer Science

Bachelor's degree in Statistics

Bachelor's degree in Mathematics

Bachelor's degree in Engineering

Ferramentas

Tableau

Power BI

pandas

numpy

Descrição da oferta de emprego

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

1. Collect, process, and analyze large datasets using SQL and Python
2. Develop and maintain dashboards and reports for key stakeholders
3. Collaborate with cross-functional teams to understand business needs and provide actionable insights
4. Automate data collection and analysis processes
5. Identify trends and patterns in data to support strategic decision-making
6. Contribute to continuous improvement of data analysis processes and methodologies

Minimum Requirements

1. Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering or related field
2. Previous experience in data analysis or similar role
3. Proficiency in SQL for complex data querying and manipulation
4. Strong knowledge of Python, including pandas and numpy libraries
5. Experience with data visualization tools (e.g., Tableau, Power BI)
6. Advanced English
7. Ability to communicate technical insights to non-technical audiences
8. Experience with end-to-end project management
9. Knowledge of a modern programming language (Ruby, Java, Python, or C#)
10. Experience with agile methodologies

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 this link for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.