Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Governance Analyst | Mid based in Brazil.
This role is a key contributor to the development and maturation of enterprise data governance practices within complex, data-driven environments. You will work closely with data, analytics, and business teams to ensure that organizational data assets are well-documented, high-quality, and properly governed throughout their lifecycle. The position plays an important role in strengthening data trust, traceability, and usability across multiple domains and platforms. You will support initiatives spanning metadata management, data quality, lineage, and master data concepts, helping translate governance frameworks into practical execution. In addition, you will collaborate on data modeling and requirements analysis to ensure consistency and alignment with business needs. The environment is collaborative and highly technical, with strong exposure to modern data tools and large-scale enterprise ecosystems.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Governance Analyst | Mid based in Brazil.
This role is a key contributor to the development and maturation of enterprise data governance practices within complex, data-driven environments. You will work closely with data, analytics, and business teams to ensure that organizational data assets are well-documented, high-quality, and properly governed throughout their lifecycle. The position plays an important role in strengthening data trust, traceability, and usability across multiple domains and platforms. You will support initiatives spanning metadata management, data quality, lineage, and master data concepts, helping translate governance frameworks into practical execution. In addition, you will collaborate on data modeling and requirements analysis to ensure consistency and alignment with business needs. The environment is collaborative and highly technical, with strong exposure to modern data tools and large-scale enterprise ecosystems.