Master Data Quality Analyst

About the role

The Master Data Quality Analyst maintains data accuracy, consistency, integrity and compliance with established data quality standards. The role covers analysing large datasets, identifying discrepancies, supporting master data management and governance, and helping maintain metadata repositories and business intelligence systems. It also includes data quality reporting, dashboard maintenance and BI tool administration.

Key responsibilities

• Analyze enterprise datasets to find data quality issues, inconsistencies and their root causes.
• Support master data management processes, data governance policies, standards and procedures.
• Help set up data quality guidelines, metadata repositories and data cataloguing.
• Identify data quality gaps and coordinate corrective actions with stakeholders to improve BI report reliability.
• Support dashboards, reports and BI solutions, and configure and administer BI tools and software.
• Manage BI user accounts, access permissions and configurations according to roles and security requirements.
• Provide technical support for BI tools, troubleshoot issues and help optimize performance.
• Ensure compliance with information security, data privacy and data management controls.
• Collaborate with the Master Data Quality Manager and others to strengthen data management practices.

Required profile

• Bachelor's degree in Information Technology or a related field from an accredited university.
• 5-7 years of experience in data quality, master data management, data governance, business intelligence or a related field.
• Preferred: experience in IT, data solutions, networking, cybersecurity or information management.
• Preferred certification: Certified Data Privacy Solutions Engineer (CDPSE).
• Strong analytical, problem-solving and attention-to-detail skills; proficiency in written and spoken English.

Required skills

• Data quality management, master data management, metadata management and data governance.
• Familiarity with BI tools, dashboards, reporting systems and data analysis techniques.
• Understanding of information security, data privacy and access control principles.