Role: Data Governance and Quality Analyst

Hybrid work model: 2 days in office per week.

Responsibilities

• Design, implement, and maintain data quality frameworks and validation rules for all data entering centralised data platforms.
• Develop quality checks, verification workflows, and monitoring dashboards for ongoing data accuracy and completeness.
• Partner with data engineers to embed automated controls within ingestion and transformation pipelines.
• Conduct regular data profiling and root‑cause analysis to identify and resolve quality issues.
• Document and maintain a catalogue of quality rules, validation logic, and known data risks.
• Establish and enforce standards for naming conventions, dataset structures, metadata requirements, and lineage documentation.
• Review new datasets for structural, governance, and quality compliance before onboarding into centralised data platforms.
• De...