Not specified
Analista de Dados Júnior, Pleno e Sênior | SQL | Power BI | Cloud
- Location
- Brazil
- Work type
- Remote · Full-time
- Salary
- Not listed
- Posted
- (3 days ago)
About the role
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Analista de Dados Júnior, Pleno e Sênior | SQL | Power BI | Cloud based in Brazil.
Join a dynamic, technology-driven environment where data plays a central role in business transformation and decision-making.
In this role, you will develop and optimize data solutions, transforming complex datasets into actionable business insights.
You will work with SQL, Power BI, and cloud technologies to build scalable data models and analytical solutions.
Your contributions will help improve data processing, reporting performance, and the quality of business intelligence.
Collaborating with multidisciplinary teams and business stakeholders, you will support projects across different industries and business areas.
This opportunity is open to Junior, Mid-Level, and Senior professionals, offering the chance to grow, innovate, and make a meaningful impact through data.
Accountabilities:
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.