Data Governance Analyst
Eames Consulting
Job Description
We are looking for a hands-on Data Governance Analyst to join a team responsible for strengthening the way data is managed, trusted, and used across the organisation. This is a practitioner-level role suited to someone with 3 to 5 years of experience in data governance, data quality, or data management — someone who enjoys working at the intersection of policy, process, and data. What You'll DoSupport the development, maintenance, and operationalisation of data governance frameworks, policies, and standardsAct as a steward for key data domains — working with business and technical stakeholders to define, document, and enforce data definitions and ownershipMonitor and report on data quality metrics, investigate issues at the source, and drive remediation efforts in partnership with data ownersMaintain and continuously improve the organisation's data catalogue and business glossary, ensuring metadata is accurate, complete, and accessibleFacilitate data governance working groups and forums, tracking decisions, action items, and policy adoption across teamsSupport data lineage mapping initiatives to improve transparency around how data flows through the organisationContribute to data governance assessments and gap analyses, translating findings into actionable recommendationsCollaborate with technology, compliance, and risk teams to ensure data governance practices remain aligned with regulatory and internal requirements What We're Looking For3 to 5 years of experience in a data governance, data quality, or data management functionFamiliarity with data governance frameworks and industry standards (e.g.
DAMA-DMBOK)Hands-on experience with data cataloguing tools and metadata management platformsWorking knowledge of data quality dimensions and how to operationalise them in an enterprise settingStrong stakeholder engagement skills — comfortable facilitating conversations across business and technical audiencesDetail-oriented with good documentation habits and an ability to translate complex data concepts into clear, accessible languageExperience in a regulated industry is an advantage