Data Quality Analyst

• Work within a national eHealth ecosystem and collaborate with government, healthcare providers, technology vendors and multidisciplinary clinical and technical teams • Lead or perform MPI and patient-demographic data quality in accordance with approved governance and delivery standards • Lead or perform matching, deduplication, survivorship and merge/unmerge operations in accordance with approved governance and delivery standards • Lead or perform SQL and data interrogation to investigate data issues and anomalies • Lead or perform validation, cleansing, reconciliation and exception management in accordance with approved governance and delivery standards • Lead or perform dashboards and trend analysis using Power BI, SAS or similar tools to monitor data quality health • Lead or perform ETL and data-pipeline awareness in accordance with approved governance and delivery standards • Produce clear, auditable documentation including plans, requirements, designs, test evidence, operating procedures, reports, dashboards, risks, issues and decisions • Apply structured governance, escalate delivery or compliance risks early and maintain traceability from requirement to implementation and acceptance • Support knowledge transfer, training, stakeholder adoption and transition to sustainable business-as-usual operations • Protect health information and follow applicable privacy, security, confidentiality and regulatory requirements Experience • Minimum 1 year of hands-on experience in healthcare data or data quality roles • Prior exposure to national or large-scale eHealth / health information systems preferred Domain Knowledge • Strong understanding of patient demographics, patient identity and Master Patient Index (MPI) • Knowledge of patient matching, duplicate prevention, record linking and merging concepts • Familiarity with healthcare data standards, privacy regulations and health information governance Technical Skills • SQL and data interrogation for data analysis and exception investigation • Data validation, cleansing, reconciliation and exception management • ETL concepts and data pipeline awareness • Dashboards and trend analysis using Power BI, SAS or equivalent tools • Test case writing, defect tracking, traceability and root-cause documentation Soft Skills • Strong analytical, communication and documentation skills • Ability to perform repeatable data checks and investigate exceptions independently • Ability to coordinate corrections with healthcare providers and IT teams • Structured approach to governance, escalation and compliance Education • Bachelor’s degree in IT, Computer Science, Health Informatics or a related field