data quality specialist

Data quality specialists review organisation's data for accuracy, recommend enhancements to record systems and data acquisition processes and assess referential and historical integrity of data. They also develop documents and maintain data quality goals and standards and oversee an organisation's data privacy policy and monitor compliance of data flows against data quality standards.

The most in-demand skills for this role include information structure, database, resource description framework query language, query languages, data ethics, normalise data. These are the skills O*NET identifies as most important for competent performance.

Our AI-durability model gives data quality specialist a score of 0.55 on a 0-1 scale (higher = more exposure). That places it at moderate AI exposure — some tasks are being automated but the role adapts. Learning to work with AI tools rather than against them is the path forward.