Analista de Dados Júnior, Pleno e Sênior

New

JobgetherData analytics

Based in BrazilFull-Time

Salary not disclosed

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Job Details

Languages: English proficiency for reading technical documentation and participating in technical meetings.
Required Skills: AWSPythonSQLMicrosoft AzureMicrosoft Power BIData modeling

Have a completed or in-progress bachelor's degree in Data Science, Computer Science, Information Systems, Engineering, or a related field.
Know SQL, including joins, Common Table Expressions (CTEs), data manipulation, and query optimization.
Have experience or knowledge of structured data modeling and database architecture.
Be familiar with Power BI, including dataset management, data modeling, and dashboard development.
Have knowledge or practical experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform (GCP).
Understand data processing and working with large volumes of information.
Demonstrate analytical thinking, problem-solving abilities, and attention to detail.
Have good communication and collaboration skills for interacting with technical and non-technical stakeholders.
Be able to work in collaborative, fast-paced, and agile environments.
English proficiency for reading technical documentation and participating in technical meetings is a nice-to-have.
Knowledge of Python applied to data analysis is a nice-to-have.
Familiarity with data pipelines and ETL/ELT processes is a nice-to-have.

Develop, maintain, and optimize SQL queries for 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.
Optimize queries, data processing workflows, and overall data performance.
Work with cloud-based data environments and platforms, including Azure, AWS, and GCP.
Contribute to reliable, scalable analytical solutions tailored to different business needs.
Collaborate with business stakeholders and multidisciplinary teams to translate requirements into data-driven solutions.
Participate in agile workflows and contribute to continuous improvement and analytical project delivery.

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