Senior Analytics Engineer

BrazilFull-TimeSenior

Salary not disclosed

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Job Details

Advanced proficiency in SQL with strong experience in complex data transformation logic.
Hands-on experience with dbt (data build tool) for building scalable data models.
Strong experience with GitHub or similar version control systems.
Solid background in data modeling and data warehouse architecture, including layered (bronze, silver, gold) frameworks.
Experience implementing automated data testing and validation frameworks.
Strong analytical mindset with attention to detail, organization, and data accuracy.
Clear and effective communication skills, with the ability to collaborate across technical and non-technical teams.
Ability to produce clear, user-friendly documentation for data processes and models.
Comfortable working autonomously in a high-impact, fast-paced environment.
Strong problem-solving skills and ability to act quickly on data-related challenges.
Familiarity with spreadsheet tools for data manipulation and analysis.

Develop and maintain ETL/ELT data transformation models to generate reliable business and product metrics.
Serve as a key link between Data Engineering and Data Analytics teams, ensuring alignment on data structures and usage.
Build and maintain automated data quality tests to ensure accuracy, consistency, and trust in data outputs.
Design and document scalable data models and processes to support self-service analytics and long-term maintainability.
Validate data models and analytical outputs, acting as a reference point for peers and ensuring best practices are followed.
Contribute to the design and evolution of data warehouse architecture, including layered structures (bronze, silver, and gold).

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