Data Management & Quality support - Level 3
About the Role
We are seeking a highly skilled Data Management & Quality Support Analyst (Level 3) to lead data governance, quality assurance, and management initiatives across the organization. This senior role is responsible for ensuring data integrity, consistency, and compliance while mentoring junior analysts and collaborating with business leaders to support data-driven decision-making.
Key Responsibilities
- Lead the design, implementation, and enforcement of data management and quality standards.
- Monitor and improve data accuracy, consistency, and integrity across systems and applications.
- Manage master data, metadata, and data lifecycle processes.
- Identify and resolve complex data issues, working closely with business units and IT teams.
- Define and implement data governance frameworks, policies, and controls.
- Oversee data quality audits, validations, and cleansing activities.
- Collaborate with BI, analytics, and application teams to ensure reliable reporting.
- Mentor and guide Level 1 and Level 2 data analysts, promoting best practices.
- Ensure compliance with regulatory requirements (e.g., GDPR, HIPAA, local data protection laws).
- Provide recommendations to enhance data strategy and architecture.
Requirements
- Bachelor’s or Master’s degree in Data Science, Computer Science, Information Systems, or related field.
- 10+ years’ experience in data management, data quality, or business intelligence.
- Advanced knowledge of SQL, data modeling, and ETL processes.
- Experience with data quality tools (Informatica, Talend, Collibra, or equivalent).
- Strong understanding of data governance frameworks and best practices.
- Familiarity with cloud data platforms (AWS, Azure, Google BigQuery) is preferred.
- Certifications such as DAMATM Certified Data Management Professional (CDMP) or Microsoft/AWS Data certifications are an advantage.
- Strong leadership, analytical, and problem-solving skills.
- Excellent communication and stakeholder management abilities.
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