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1 день назад

Senior BI Analyst/Engineer (Logistics)

Формат работы
remote (только Brazil)
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Brazil
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

Senior BI Analyst/Engineer (Logistics): Designing and maintaining analytical models and dashboards for a logistics platform with an accent on SQL, Python, and data visualization. Focus on translating complex business requirements into scalable analytical solutions and fostering a data-driven culture within distributed teams.

Location: Must be based in Brazil

Company

hirify.global is a global digital transformation partner helping large enterprises leverage AI and technology to drive business impact.

What you will do

  • Design, build, and maintain analytical models and dashboards using Power BI and Tableau.
  • Develop complex SQL queries and leverage Python for scripting, automation, and data processing.
  • Analyze data to identify trends and provide actionable recommendations for strategic decision-making.
  • Promote best practices in data engineering and modeling to ensure solution scalability and performance.
  • Engage with onsite and offshore stakeholders to gather and validate analytical requirements.
  • Manage tasks within Agile/Scrum environments using Jira.

Requirements

  • Advanced English (C1 or above) required for communication with international stakeholders.
  • Must be based in Brazil.
  • Proven experience in Business Intelligence, Data Engineering, or Analytics.
  • Advanced proficiency in SQL and Python.
  • Strong experience with Power BI and Tableau.
  • Experience with Agile/Scrum methodologies.

Nice to have

  • Knowledge of Azure services (Data Factory, Synapse Analytics, Databricks, Data Lake).
  • Experience in the Logistics or Supply Chain domain.
  • Exposure to data governance and quality practices.

Culture & Benefits

  • Opportunity to work on large-scale digital transformation projects.
  • Collaborative environment with a global team of 8,000+ professionals.
  • Focus on AI-native execution and continuous innovation.
  • Support for professional development and data-driven culture building.

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