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Department of Health: Administration Clerk (Statistician) 2026

 

Department of Health: Administration Clerk (Statistician) 2026

The Gauteng Department of Health is recruiting an Administration Clerk (Statistician) for the Steve Biko Academic Hospital in Pretoria. This role is vital for the hospital’s operational

efficiency, as it involves the collection, verification, and reporting of healthcare data used for strategic planning and resource allocation.


1. Quick Overview

DetailInformation
EmployerGauteng Department of Health
PositionAdministration Clerk (Statistician)
LocationSteve Biko Academic Hospital, Pretoria
Closing Date05 May 2026
Reference No.SBAH 32/2026
SalaryR216,417 per annum (Level 5) + Benefits

2. Minimum Requirements

  • Education: A completed Grade 12 (Matric) certificate or equivalent.

  • Experience: Previous experience in data management, statistics, or health information systems (DHIS) is an advantage.

  • Skills: * Advanced Computer Literacy (MS Office, especially Excel).

    • Strong numerical and analytical skills.

    • Ability to handle confidential patient information (POPIA compliance).

    • Good communication and interpersonal skills.

  • Attributes: High level of accuracy, attention to detail, and the ability to meet strict reporting deadlines.


3. Key Responsibilities

Working within a major academic hospital, your duties will include:

  • Data Collection: Gathering daily, weekly, and monthly statistics from various clinical departments and wards.

  • Data Verification: Checking the accuracy and completeness of data before it is captured into the system.

  • Reporting: Compiling and submitting statistical reports to the Hospital Management and the Provincial Department of Health.

  • System Maintenance: Ensuring that the District Health Information System (DHIS) and other electronic platforms are kept up to date.

  • Record Keeping: Maintaining a safe and organized filing system for all statistical source documents.

  • Analysis: Assisting in the interpretation of data trends, such as bed occupancy rates, patient waiting times, and mortality rates.


4. How to Apply

The Department of Health follows strict public service application protocols.

APPLICATION FORM

  1. Application Form: You must use the New Z83 Form (2021 Edition). It must be fully completed, signed, and dated.

  2. Reference Number: Ensure the reference number SBAH 32/2026 is clearly stated on your Z83.

  3. Required Documents:

    • A detailed CV.

    • A copy of your ID and Matric Certificate. (Certified copies are usually only required if you are shortlisted).

  4. Submission:

    • Hand Delivery: Steve Biko Academic Hospital, Main Entrance, Level 3, Dr. Savage Road, Riviera, Pretoria.

    • Post: The Chief Executive Officer, Steve Biko Academic Hospital, Private Bag X169, Pretoria, 0001.


5. Important Advice for 2026

  • The "Academic" Environment: Working at an academic hospital means you will be dealing with complex data sets. Highlight your organization skills and your ability to work with large volumes of paperwork.

  • Excel Proficiency: If you are shortlisted, you may be required to undergo a practical test on Excel (e.g., creating formulas, charts, or pivot tables). Refresh these skills now!

  • Health Data Knowledge: Mentioning familiarity with the DHIS (District Health Information System) or the Web-DHIS will give you a massive competitive edge.

  • Z83 Signature: Ensure your Z83 is signed and dated within the current application window.


6. Why Join Steve Biko Academic Hospital?

  • Prestige: It is one of South Africa’s leading tertiary hospitals, offering a professional and high-standard work environment.

  • Public Service Benefits: Access to the GEPF pension, housing allowance, and medical aid subsidies.

  • Career Growth: Experience in medical statistics is a highly specialized skill that can lead to roles in Health InformaticsPublic Health Research, or Data Analysis.

Tip: Since you are interested in engineering and technical data, emphasize your analytical mindset and your ability to spot errors in complex data sets. These are the same skills used in simulation and modeling!



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