Data Governance Analyst | Senior

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.