Analista de Dados Júnior, Pleno e Sênior | SQL | Power BI | Cloud

Accountabilities:: Develop, maintain, and optimize SQL queries, working with large datasets and complex data structures. Build and maintain structured data models, including Star Schema and Snowflake architectures. Design, develop, and maintain Power BI dashboards and analytical solutions, ensuring performance, usability, and scalability. Optimize queries, data processing workflows, and overall data performance. Work with cloud-based data environments and platforms, including Azure, AWS, and GCP. Contribute to the development of reliable, scalable analytical solutions tailored to different business needs. Collaborate with business stakeholders and multidisciplinary teams to understand requirements and translate them into data-driven solutions. Participate in agile workflows, contributing to continuous improvement and the delivery of high-quality analytical projects. Requirements: Bachelor's degree completed or currently in progress in Data Science, Computer Science, Information Systems, Engineering, or a related field. Knowledge of SQL, including joins, Common Table Expressions (CTEs), data manipulation, and query optimization, with expectations aligned with the professional's seniority level. Experience or knowledge of structured data modeling and database architecture. Familiarity with Power BI, including dataset management, data modeling, and dashboard development. Knowledge or practical experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform (GCP). Understanding of data processing and working with large volumes of information. Strong analytical thinking, problem-solving abilities, and attention to detail. Good communication and collaboration skills, with the ability to interact effectively with technical and non-technical stakeholders. Ability to work in collaborative, fast-paced, and agile environments. Nice to have: English proficiency for reading technical documentation and participating in technical meetings. Knowledge of Python applied to data analysis. Familiarity with data pipelines and ETL/ELT processes. Previous experience working in large-scale corporate environments. Benefits: 100% company-subsidized medical insurance for employees and eligible dependents. Dental insurance. Meal or food allowance with no employee payroll deduction. Life insurance. Private pension plan. Wellhub membership. TotalPass membership. Employee stock purchase plan with discounted shares. Pharmacy discounts. Childcare allowance. Partnerships with language schools. Extended maternity and paternity leave. Annual profit-sharing program (PPR). Benefits and eligibility are subject to the company's current policies.