Data Quality Analyst

We are X, bigly labs, Dis\-Chem's high\-performance innovation hub; a place where bold ideas meet data, design, and radical customer focus to reimagine what healthcare can be. Our mission is to power the future of healthcare by lowering costs, unlocking new possibilities, and improving access to healthcare for all South Africans. We do this through cutting\-edge digital solutions that deliver smarter, more human, and truly patient\-focused experiences. Here, your work is not limited to a whiteboard; it becomes real. It drives decisions, shapes experiences, and moves healthcare forward. We are driven by one big question: How do we use data and today's technology to build breakthroughs to better health? There's only one question left: are you ready to make healthcare smarter, and actually mean it? The **Data Quality Analyst** ensures the integrity, accuracy, and reliability of enterprise data across platforms and domains. This role supports strategic decision\-making, regulatory compliance, and AI readiness by embedding robust data quality frameworks and collaborating with data scientists, engineers and governance teams. The analyst will proactively identify data issues, implement remediation strategies and contribute to the development of scalable data quality solutions that align with modern data science and AI practices. **WHAT WE'RE LOOKING FOR?** **Minimum:** * Bachelor's degree in Data Science, Computer Science, Information Systems, or a related field. * 5\+ years of experience in data quality, data management, or data engineering roles. * Proficiency in SQL, Python, and data profiling tools (e.g., Informatica, Talend, Great Expectations). * Experience with BI and reporting tools (e.g., Power BI), including building and maintaining data quality dashboards and scorecards. * Solid understanding of data science workflows, AI model lifecycle, and MLOps principles. * Experience with cloud platforms (Azure, AWS, GCP) and data lakehouse architectures. * Familiarity with data governance frameworks (e.g., DAMA\-DMBOK), metadata management, and data privacy regulations (POPIA, GDPR). **Advantageous:** * Certifications in Data Governance, AI Ethics, or Machine Learning. * Experience in healthcare, retail, or insurance **WHAT YOU WILL BE DOING?** * Design and implement enterprise\-wide data quality rules, standards, and monitoring processes to ensure the consistent, reliable, and trusted data for operational process analytics, reporting, and AI model development * Establish and manage a data remediation backlog by triaging data quality issues across systems (severity/impact), assigning ownership, and tracking remediation progress to closure. * Develop continuous monitoring and alerting for critical data assets, including thresholds, trend analysis, and escalation paths with data owners/stewards . * Embed upstream validation at point of capture and in data pipelines (mandatory fields, format checks, controlled vocabularies, schema drift checks) to...