We are looking for a Data Analyst to support our data workstream by managing data quality issues, driving root-cause analysis, and improving master/reference data across multiple systems.

This role is ideal for someone who enjoys problem-solving, working with cross-functional teams, and ensuring data is accurate, consistent, and fully aligned across the organisation.

Key Responsibilities:

• Manage the data quality Kanban board and ensure all incoming issues are properly reviewed and prioritised
• Investigate new data issues, define clear use cases, and identify whether the root cause is process, system, or data related
• Support data mapping activities between source and target systems, collaborating closely with SMEs for validation
• Contribute to improving master and reference data by analysing terminology, identifying inconsistencies, and supporting integration across platforms
• Track high-impact or unresolved data issues and highlight risks or dependencies
• Prepare concise reports and escalate critical issues when needed
• Partner with business, technical, and governance groups to resolve issues and strengthen data processes

What We’re Looking For

• Strong data analysis and problem-solving skills
• Ability to work with diverse teams across business and technology
• Experience documenting use cases and data quality requirements
• Good understanding of master data, reference data, and data workflows
• Experience in Life Sciences or regulated industries (desirable)