Senior Data Governance Analyst

Description

Job Summary: We are seeking a Data Governance Analyst to strategically define, implement, and evolve data governance practices within analytical environments, ensuring data quality, security, and efficient information usage. Key Highlights: 1. Strategic involvement in defining and evolving data governance practices 2. Accountability for data quality, security, and standardization 3. Promotion of a data-driven culture across the organization Profile: Data Governance We require a Mid-level/Junior candidate. Position: Data Governance Analyst Area: Data | Analytics | Technology Level: Mid-level About the Role We seek a Data Governance Analyst to strategically define, implement, and evolve data governance practices within modern analytical environments. This professional will be responsible for structuring data processes, policies, and architectures, ensuring data quality, security, standardization, and efficient usage, while fostering a data-driven culture across the organization. Key Responsibilities * Define, implement, and evolve data governance processes, policies, roles, and responsibilities aligned with DMBOK (DAMA) * Work across Data Quality, Data Security and Access, Metadata, and MDM (Master Data Management) * Design and maintain Data and Analytical Environment Architectures, including data ingestion and integration strategies * Define naming conventions, cataloging, lineage, and metadata standards across data platforms * Develop and monitor KPIs and metrics for data quality, security, and maturity * Lead and support PoCs for data governance, data quality, metadata, and MDM tools * Collaborate with business units and stakeholders to gather requirements * Support BI self-service initiatives and modernization of analytical environments * Guide and mentor technical teams, disseminating best practices in data architecture, integration, and governance * Contribute to defining reference architectures, ensuring project adherence to established standards Requirements: Technical Requirements * Solid experience in Data Governance, Data Architecture, and Business Intelligence * Strong knowledge of data modeling * Experience with Data Quality, Metadata, MDM, and Information Security applied to data * Experience in medium- to large-scale corporate analytical environments * Hands-on experience with cloud-based data platforms, especially Fabric and Purview * Knowledge of data integration and ingestion strategies * Experience with Agile and Waterfall methodologies * Familiarity with SQL and Python * Ability to act consultatively with business units Behavioral Competencies * Strategic vision and analytical thinking * Strong communication and influencing skills * Consultative, collaborative, and results-oriented profile * Technical leadership and mentoring ability * Organization, autonomy, and sense of responsibility Benefits GlobalTI 70/30 engagement model