Monitoring & Evaluation Officer (Gauteng) at NACOSA

Company:

NACOSA

NACOSA

Industry: NGO / Non-Profit Associations

Deadline: Not specified

Job Type: Full Time

Qualification: Matric

Experience: 3 years

Province: Gauteng

City:

Field: Data, Business Analysis and AIĀ , ICT / Computer

The key performance areas of the M&E Officer role are:

  • Contribute to the design and continuous improvement of M&E frameworks, tools, policies, and data systems in collaboration with internal teams and IT providers.
  • Oversee accurate and timely data submission from implementing partners, manage data systems, troubleshoot issues, and ensure effective data cleaning and validation processes.
  • Troubleshoot and resolve system-related issues; act as primary liaison with IT service providers.
  • Conduct regular data quality assessments, including on-site verification visits. Identify and correct data discrepancies, support IPs in preparation for audits, and promote data integrity across all systems.
  • Train and mentor implementing partners and staff on M&E practices, tools, and protocols. Serve as a key resource for troubleshooting and system support.
  • Perform basic data analysis, support data-driven decision-making, and contribute to internal and external reporting through data summaries, presentations, and publications.
  • Support staff development, performance management, and a values-driven, high-performance culture within the team (where relevant).
  • Carry out special projects and stand in for colleagues or supervisors as needed.

Requirements

Required Qualifications and Experience  

  • Bachelor’s degree in Social Science, Public Health, or related field
  • SAMEA membership (advantageous, not essential)
  • Minimum 3 years’ experience in a Monitoring & Evaluation role
  • Experience in monitoring, verifying, and promoting data quality in health/social development programmes
  • Proven ability to develop, maintain, and troubleshoot electronic data management systems (e.g., DHIS2, Salesforce, CommCare, custom-built systems) 
  • Proven experience with data analysis tools and languages (e.g., Excel, SQL, Python, Power BI)
  • Demonstrated ability to work in fast-paced, high-volume environments
  • Experience in capacity development of field staff and stakeholder coordination
  • Proficiency in English and one other South African language (African language advantageous)
  • Experience with data management systems and MS Office suite, especially Excel
  • Valid driver’s license and willingness to travel for onsite verifications. 

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