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














