Analista de Engenharia de Analytics

Extract, process, and model large volumes of corporate data using SQL, ensuring data quality and traceability. Develop descriptive, diagnostic, and predictive analyses in Python, including correlation, hypothesis testing, regression, decision trees, and segmentation. Build and maintain data pipelines and ETL processes in Azure, including scheduling and failure handling. Create and configure analytical environments in Azure, such as virtual machines and data storage.

Bachelor's degree in Engineering, Statistics, Mathematics, Computer Science, Economics, or another quantitative field. Experience working with data in startups, consultancies, or analytics teams. Advanced knowledge of Python (Pandas and Scikit-learn) and SQL. Practical experience with Databricks and Azure, including creating and configuring virtual machines and analytical environments.

The company offers a fully subsidized medical assistance plan for employees and dependents, meal vouchers without deductions, life insurance, private pension, and options for purchasing company shares at a discount. Additional benefits include extended maternity and paternity leave, and partnerships with language schools.