Monitoring And Evaluation Specialist
South Africa
Listed on 2026-08-23
-
Business
Data Analyst
Are you ready to turn raw, complex program data into actionable strategies that genuinely improve healthcare access for young women across Africa?
About TikoTiko is an African nonprofit committed to strengthening the potential and resilience of adolescent girls across Africa. We address the “Triple Threat” of unintended pregnancy, HIV infection, and sexual and gender-based violence by building local health ecosystems that provide stigma-free, no-cost, quality-assured services.
Our model brings together key local actors: community-based organizations (CBO) with peer mobilisers who act as health companions to girls; public and private health clinics that deliver care; and retail partners that redeem Tiko Miles
-our behaviour-change incentive programme that rewards service uptake and feedback.
We invest in partners by strengthening CBO capacity, training frontline workers and providers, supporting clinic quality improvement, and compensating partners based on performance. Our technology platform connects all actors by enabling referrals, verifying service delivery, facilitating payments, and generating real-time data.
Tiko operates in six countries:
Kenya, Ethiopia, Uganda, Burkina Faso, South Africa, and Nigeria, with additional offices in Portugal, the Netherlands, and the United Kingdom. For a clear overview of our work, we recommend watching this short video.
Globally, our team consists of +250 enthusiastic, international colleagues. Whether you are working from our biggest office in Nairobi, the fast-growing office in South Africa, or from home, our people are young, and our culture is global and dynamic. Our work environment is fast-paced, informal, and friendly.
We are open to remote work for this position and will happily accept applicants from anywhere in Nigeria and South Africa.
The JobAt Tiko, we believe young women deserve the power to choose when it comes to their sexual and reproductive health. We build digital platforms that link young women to local healthcare providers, services, and rewards, removing barriers to care and delivering measurable impact. We do not just run programs; we test, learn, and continuously iterate to maximise real-world outcomes.
As our M&E Specialist
, you will sit at the absolute heart of our impact engine within the Evidence and Learning (E&L) team. Reporting to the Director of Evidence and Learning, you will be responsible for building, refining, and executing a rigorous M&E framework that articulates our pathway to impact. You will translate complex platform interactions into sharp insights, holding our data to the highest standards and ensuring every decision we make, from donor proposals to field execution, is grounded in evidence.
Strategic Frameworks & Data Architecture
- Lead the design and integration of Theories of Change, strategic monitoring frameworks, and work plans during early-stage program development and donor proposal drafting.
- Formulate robust, high-quality performance indicators, impact metrics, and target baselines that align with organizational objectives.
- Adapt data quality assurance and evaluation approaches dynamically in response to shifting funding landscapes, program objectives, and field realities.
- Oversee the end-to-end collection, cleaning, categorization, and analysis of quantitative and qualitative datasets.
- Partner directly with our Data Analytics team to manipulate platform databases, extract operational insights, and optimize standard Health Information Systems (such as DHIS2).
- Select, maintain, and supervise appropriate data platforms and digital collection technologies (e.g., Kobo Toolbox, Tableau) to ensure seamless data pipelines.
- Lead quality assurance partner selections, designing and delivering collaborative training sessions and initial field supervision.
- Conduct regular Data Quality Audits (DQAs) alongside Program Managers to ensure complete integrity across reported metrics.
- Provide hands-on technical troubleshooting and on-site guidance when unusual field execution or data quality challenges emerge.
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