Data and Automation Analyst (Mid/Senior)

Posted 1ds ago

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Job Description

Analista de dados e automação na Keyrus, grupo de consultoria em dados e IA. Desenvolvendo integrações, pipelines, dashboards e soluções escaláveis com Python, SQL e cloud.

Responsibilities:

  • Translate complex business challenges into scalable, modern, results-driven data solutions
  • Develop solutions using Python and SQL for data analysis, processing, and automation
  • Build and evolve ETL/ELT data pipelines, data modeling, and large-scale data processing
  • Work with data environments on Google Cloud Platform, especially BigQuery
  • Develop integrations using REST APIs and automate processes with n8n, Opal, or similar tools
  • Automate tasks using Selenium with Python
  • Create dashboards, analyses, and data applications using Looker and Streamlit
  • Define metrics, KPIs, and data organization and governance practices
  • Perform exploratory analyses, apply statistical concepts, and turn data into business insights
  • Work autonomously across different stages of the data lifecycle, from integration and cleansing to insight generation
  • Convert business challenges into data, automation, and AI solutions with tangible impact

Requirements:

  • Generalist, hands-on profile with a passion for technology
  • Analytical mindset with the ability to translate business challenges into efficient, scalable data solutions
  • Ability to quickly learn new technologies
  • Interest in automation, artificial intelligence, and innovation
  • Experience developing solutions with Python and SQL for data analysis, processing, and automation
  • Experience building and evolving ETL/ELT data pipelines
  • Experience in data modeling and large-volume data processing
  • Experience with data environments in Google Cloud Platform, particularly BigQuery
  • Knowledge of integrations with REST APIs
  • Knowledge of process automation with n8n, Opal, or similar tools
  • Experience using Selenium with Python for task automation
  • Experience with Looker and Streamlit for dashboards, analyses, and data applications
  • Experience defining metrics, KPIs, data organization, and data governance
  • Ability to perform exploratory analysis, apply statistical concepts, and generate business insights
  • Plus: experience with Pandas
  • Plus: knowledge of Machine Learning
  • Plus: experience or interest in Generative Artificial Intelligence

Benefits:

  • Multicultural environment and interaction with people from around the world
  • Opportunities for skill development and professional growth
  • Work with data, automation, artificial intelligence, and innovation technologies
  • Culture of collaboration, autonomy, and initiative