About the company
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 | Senior based in Brazil.
This is an opportunity for a senior data professional to lead the implementation and continuous improvement of data governance and quality practices.
Responsibilities
- Lead the implementation and ongoing management of data governance policies, processes, standards, and controls.
- Define metrics, KPIs, and dashboards to monitor data quality and governance performance.
- Monitor data integrity, consistency, accuracy, completeness, and reliability, identifying opportunities for continuous improvement.
- Support data security, LGPD, privacy, and regulatory compliance initiatives, ensuring appropriate controls and governance practices.
- Identify opportunities to optimize technology and data-related costs across cloud and on-premise environments, applying FinOps principles.
- Maintain clear and up-to-date documentation covering data policies, governance guidelines, controls, standards, and requirements.
- Support strategic data initiatives by contributing to technical decisions, prioritization, planning, and solution design.
- Analyze and resolve complex data-related challenges, developing sustainable solutions in collaboration with multiple stakeholders.
- Facilitate alignment between technical and business teams, helping build consensus around data policies, priorities, and solutions.
- Promote data governance best practices and contribute to the continuous evolution of the organization’s data management maturity.
- Share knowledge and mentor less experienced professionals, encouraging consistent adoption of governance and data quality practices.
Requirements
- Solid professional experience in Data Governance and Data Quality, with a strong understanding of governance frameworks, policies, controls, and data management practices.
- Knowledge of data security, LGPD, privacy, and regulatory compliance requirements.
- Experience with FinOps and cost optimization across cloud and/or on-premise environments.
- Strong proficiency in SQL and programming, with the ability to analyze data and support technical problem-solving.
- Experience working with both relational and non-relational databases.
- Knowledge of code versioning and software development best practices.
- Experience with Data Warehouse, Data Lake, and Lakehouse architectures, understanding their different use cases and governance implications.
- Ability to work autonomously when analyzing complex problems and designing practical, scalable solutions.
- Strong analytical and critical-thinking skills, with the ability to assess risks, identify root causes, and prioritize improvements.
- Excellent communication and stakeholder-management skills, with the ability to translate technical concepts into clear business discussions.
- Collaborative mindset and ability to build alignment across technical and non-technical teams.
- Proactive approach to knowledge sharing, mentoring, and continuous improvement.
Conditions
- Remote work model.
- Opportunity to work on strategic data governance and transformation initiatives.
- Exposure to modern data architectures, cloud environments, AI-driven technologies, and emerging technology trends.
- Opportunities for continuous professional and technical development.
- Collaboration with multidisciplinary teams and stakeholders across business and technology areas.
- Environment that encourages knowledge sharing, innovation, and professional growth.
- Opportunity to contribute to initiatives involving data quality, security, compliance, and cost optimization.