Data and Automation Analyst (Mid/Senior)

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Transform intricate business challenges into scalable, modern, and results-oriented data solutions.

• Design and implement solutions utilizing Python and SQL for data analysis, processing, and automation.

• Construct and enhance ETL/ELT data pipelines, data modeling, and large-scale data processing.

• Engage with data environments on Google Cloud Platform, particularly BigQuery.

• Create integrations using REST APIs and automate workflows with tools like n8n, Opal, or similar applications.

• Streamline tasks through automation using Selenium with Python.

• Develop dashboards, analyses, and data applications leveraging Looker and Streamlit.

• Establish metrics, KPIs, and practices for data organization and governance.

• Conduct exploratory analyses, apply statistical methodologies, and convert data into actionable business insights.

• Operate independently across various phases of the data lifecycle, from integration and cleansing to insight generation.

• Translate business challenges into impactful data, automation, and AI solutions.

⛳️ Requirements

• Versatile, hands-on individual with a strong enthusiasm for technology.

• Analytical thinker capable of converting business challenges into effective, scalable data solutions.

• Quick learner of new technologies.

• Passion for automation, artificial intelligence, and innovation.

• Proven experience in developing solutions using Python and SQL for data analysis, processing, and automation.

• Background in constructing and enhancing ETL/ELT data pipelines.

• Familiarity with data modeling and processing large volumes of data.

• Experience with data environments on Google Cloud Platform, especially BigQuery.

• Understanding of integrations with REST APIs.

• Knowledge of process automation using n8n, Opal, or comparable tools.

• Experience utilizing Selenium with Python for task automation.

• Proficient in Looker and Streamlit for creating dashboards, analyses, and data applications.

• Experience in defining metrics, KPIs, and managing data organization and governance.

• Ability to conduct exploratory analysis, apply statistical concepts, and derive business insights.

• Plus: familiarity with Pandas.

• Plus: understanding of Machine Learning.

• Plus: experience or interest in Generative Artificial Intelligence.

🏝️ Benefits

• Multicultural environment with opportunities to interact with individuals from around the globe.

• Opportunities for skill enhancement and professional advancement.

• Work with cutting-edge technologies in data, automation, artificial intelligence, and innovation.

• Culture that promotes collaboration, autonomy, and initiative.