We’re building a new Data Quality team within our Enterprise Data Services function, and we’re looking for a highly skilled and motivated Senior Data Quality Analyst to help lead the delivery of our data quality strategy. 

This is a fantastic opportunity to play a pivotal role in embedding best practices, driving continuous improvement, and supporting transformation programmes across Ageas. 

Main Responsibilities as Senior Data Quality Analyst: 

• Lead the execution of the Ageas Data Quality Strategy Deliver high-quality, consistent, and measurable data quality services across the organisation. 

• Collaborate with stakeholders to align data quality activities with business goals and our Enterprise Data Strategy. 

• Inform the development and maintenance of the Data Quality roadmap by providing insights from operational experience and project delivery. 

• Monitor and report on Data Quality KPIs, identifying trends and opportunities for improvement. 

• Lead components of the implementation and optimisation of data quality tooling, ensuring effective roll out of the tool and adoption of ways of working. 

• Act as a subject matter expert, guiding Data Stewards, Data Managers, and business users. 

• Lead issue management processes and contribute to continuous improvement initiatives. 

• Provide training and coaching to junior team members and stakeholders. 

• Support transformation programmes including data migration, integration, and consolidation. 

• Promote a culture of collaboration, accountability, and data excellence. 

Skills and experience you need as Senior Data Quality Analyst: 

• 5+ years in a data-focused role, with at least 1 year of hands-on experience in data quality. 

• Proven ability to work independently and lead delivery of data initiatives. 

• Experience working with data quality tools and ideally Collibra. 

• Strong SQL skills and familiarity with Python for data analysis and automation. 

• Strong knowledge of Data Governance best-practice and how it compliments Data Quality operations and processes. 

• Experience working with Snowflake and Databricks platforms. 

• A proactive mindset with the confidence to challenge existing processes and drive improvement. 

• Excellent communication and stakeholder engagement skills. 

• Experience in Agile/Scrum environments. Qualifications: DAMA CDMP (Certified Data Management Professional) or equivalent. 

• Recognised Data Quality Specialist certification or training. 

• Desirable: 

• Experience in the insurance or financial services sector. 

• Exposure to data migration or transformation programmes.