Data Operations & Integrity Analyst

Role Summary: Responsible for managing product catalogue governance, improving data quality, and driving operational excellence within Data Operations. Focuses on standards, data integrity, performance measurement, and continuous improvement. Key Responsibilities: 1. Catalogue Governance & Taxonomy - Maintain product data standards, naming conventions, and taxonomy structures - Ensure scalability, consistency, and alignment with business needs - Review and approve changes to protect data integrity 2. Data Quality & Maturity - Develop data quality scorecards and frameworks - Monitor and improve catalogue standards (Gold/Silver/Bronze) - Identify root causes and drive data quality improvements 3. Demand Quality & Service Performance - Track request quality (acceptance, rejection, rework rates) - Improve input quality through templates, controls, and stakeholder coaching - Reduce inefficiencies caused by poor-quality requests 4. Operational Excellence - Build productivity models, dashboards, and performance metrics - Analyse workload, capacity, and efficiency - Drive process improvements, automation, and standardisation 5. Product Verification & Data Integrity - Implement verification frameworks and sampling methods - Identify risks, monitor outcomes, and drive corrective actions - Ensure ongoing improvement in catalogue accuracy 6. Team Capability Development - Coach team on standards, analytics, and continuous improvement - Build skills in SQL, reporting, and data management - Foster accountability and data ownership culture Requirements: Qualifications & Experience - Degree/Diploma in Business, Data, Supply Chain, or related field - 35 years in data management, PIM, business analysis, or similar Core Skills - Strong Excel, analytical thinking, and problem-solving - Ability to build frameworks, standards, and reporting - Strong stakeholder engagement and multitasking ability Technical Skills - Essential: Excel, Word, SQL, SharePoint - Advantageous: Power BI, Qlik, Syspro, Power Automate, PIM systems Success Metrics (KPIs) - Improved data quality and catalogue maturity - Higher request acceptance & reduced rework - Strong adoption of governance standards - Increased operational productivity - Improved data integrity and verification outcomes - Team capability growth and positive stakeholder feedback