Data Governance Analyst | Senior

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.You> will help establish policies, controls, metrics, and processes that strengthen data reliability across the organization.The role combines data governance, security, compliance, architecture, and cost optimization in cloud and on-premise <environments.You> will work closely with both technical and business stakeholders to solve complex problems and drive strategic initiatives.Your expertise will contribute to better decision-making, regulatory compliance, and more efficient use of data and technology resources.The position offers significant autonomy, technical influence, and opportunities to mentor other <professionals.It> is ideal for someone who combines strong analytical capabilities with communication skills and a pragmatic, business-oriented mindset.

Accountabilities

• 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.

Benefits

• 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.