Data Systems and Analytics Manager (Wits RHI)

• To design, develop, manage, and continuously improve data systems, analytics, reporting, and automation solutions that support research and operational projects by ensuring data quality, integrity, accessibility, and actionable insights for effective decision-making

• 57 Klein Street Hillbrow, Johannesburg

Data Systems Design, Development and Management

• Translate research and operational requirements into appropriate technical data solutions
• Design, develop, test, implement and maintain REDCap databases and other fit-for-purpose data systems
• Develop electronic forms, data structures, branching logic, calculated fields, validation rules and longitudinal workflows as required
• Configure and maintain appropriate User access and permissions
• Develop and maintain system specifications, data dictionaries and technical documentation
• Test and validate new systems and structural changes prior to implementation
• Maintain and enhance systems in response to project amendments and changing operational requirements

• Develop and maintain R Scripts and other relevant programming solutions for data extraction, transformation, cleaning, validation, analysis and reporting
• Develop reproducible and automated data-processing and reporting workflows
• Integrate REDCap and other project data sources with reporting, analytical and visualisation platforms
• Use SQL, APIs and other appropriate technologies to support data integration and automation
• Develop reusable scripts, tools and processes that can be applied across projects
• Apply appropriate testing, documentation and version-control practices
• Identify repetitive/manual processes suitable for automation and develop appropriate technical solutions

• Develop and maintain interactive dashboards and automated management reports
• Develop cross-project and site-level comparative reporting where appropriate
• Analyse performance against agreed targets, timelines and milestones
• Identify trends, exceptions, emerging risks, bottlenecks and areas of underperformance
• Develop forecasts and projections where appropriate
• Conduct additional analysis to understand drivers of performance
• Translate complex data into clear, actionable information for management and project teams

• Design and implement automated and manual data-quality controls
• Develop validation rules, edit checks and exception reports to identify missing, inconsistent or potentially erroneous data
• Develop and monitor data-quality indicators and trends
• Support Project teams in investigating and resolving data-quality issues
• Identify systemic data-quality problems and recommend corrective or preventative solutions
• Ensure appropriate documentation and traceability of data transformations and system changes
• Support monitoring activities, audits and inspections as required
• Ensure data systems and processes comply with applicable protocols, SOPs, GCP, ethics, governance and data-protection requirements

• Participate in project planning and protocol development to advise on appropriate data capture, monitoring and reporting approaches
• Train and support Users on REDCap, dashboards and other relevant data tools
• Develop appropriate User guides and technical documentation
• Proactively identify opportunities to improve existing databases, dashboards, reporting processes and analytical workflows
• Evaluate emerging technologies, analytical approaches and tools relevant to research and operational data management
• Develop innovative solutions to new project and portfolio requirements
• Promote standardisation and reusable solutions across projects where appropriate
• Collaborate with IT, Data Management, Biostatistics and other technical Stakeholders as required

• Bachelor’s Degree in Computer Science, Information Systems, Data Science, Health Informatics, Epidemiology

• Minimum of 3 years' experience in data systems development, database management, analytics, reporting, and data quality management
• Demonstrated proficiency in Redcap, SQL, R programming, dashboard development, and database design
• Experience with public health/ health informatics or epidemiological datasets

• Enhanced data visualization
• Statistical analysis
• Experience with clinical trials, healthcare, or regulated data environment will be advantageous

• Only if you meet the minimum job requirements and experience as mentioned above, you may submit a detailed updated CV and a cover letter (maximum one page) that clearly states which vacancy you are applying for
• Please Apply Online and complete your registration via our website to enable and protect you as a candidate, and to accept the new POPIA terms and conditions
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• However, you may remove your profile from AJ PERSONNEL when you are no longer in the job market
• Please take note that the applicants who do not adhere to the above criteria will not be considered for the respective position
• Wits Health Consortium will only respond to shortlisted candidates
• Candidates who have not been contacted within two weeks of the closing date can consider their applications to be unsuccessful
• Closing date: 02 October 2026
• Note: No CV will be accepted after the closing date

• WHC, in accordance with its Employment Equity goals and plan, will give preference to suitable applicants from designated groups as defined in the Employment Equity Act 55 of 1998 and subsequent amendments thereto
• AJ Personnel isonly responsible for advertising and the response handling on behalf of their client Wits Health Consortium
• AJ Personnel does not have any salary or other information regarding the position