Slindile Fakazi

Data Assistant/ Virtual Assistant/ Translator/ Clinical Data Assistant

▪ Ensure precise interpretation of clinical data across reports,
dashboards, and analytics models.
▪ Conduct regular audits to validate data interpretation methodologies.
▪ Identify critical clinical data elements and establish stringent quality
measures.
▪ Implement rigorous validation processes to maintain high data
credibility.
▪ Lead root cause analysis efforts for data discrepancies and drive
effective remediation actions.
▪ Stay updated on cutting-edge analytical methods in healthcare.
▪ Provide expert guidance on suitable methods for specific solutions
based on data characteristics.
▪ Engage closely with clinical teams to identify opportunities for
leveraging data insights.
▪ Organize collaborative sessions to implement data-driven solutions
effectively.
▪ Partner closely with the Data Engineering team for seamless data
ingestion.
▪ Ensure adherence to data governance practices to maintain data
integrity.
▪ Source reliable third-party data, assessing compatibility and credibility
before integration.
▪ Conduct in-depth data analysis to drive the derivation of new
variables for model enhancement.
▪ Utilize advanced data profiling tools to comprehend data
characteristics.
▪ Present findings through compelling visualisations for effective
communication.
▪ Strictly adhere to Netcare’s standardised processes, methodologies,
and techniques.
▪ Periodically review and optimise processes to align with industry best
practices.