How to Apply: Interested and qualified? Go to Danish Refugee Council on drc.ngo to apply.
Show MEAL Rigor and Field Savvy in Your Application
This role sits at the heart of a localization fund, so the hiring team will look for someone who can balance technical data skills with genuine respect for partner-led systems. They want evidence that you can turn raw data into learning that shapes decisions, not just reports.
1. Lead with your data toolkit: On your CV, list the specific digital data collection tools you have used, especially Kobo, and any experience with Power Apps or ERP systems like Dynamics. Mention the types of datasets you have managed and cleaned, and give a concrete example of how you ensured data quality in a previous role.
2. Prove your MEAL methodology: Be ready to explain how you have operationalized a Theory of Change or results framework. Describe a time you developed indicators and aligned them with donor requirements, and how you balanced rigor with the need for real-time learning.
3. Show your partner-first mindset: Since the role emphasizes supporting local partners without over-burdening them, share an example of how you adapted MEAL processes to fit a small community-based organization. Highlight your experience in capacity strengthening and coaching.
4. Demonstrate your cross-cultural communication: With English and Arabic fluency required, prepare to discuss how you have worked in multicultural teams, especially in East Africa or Sudan. Give an example of how you navigated language or cultural barriers to achieve project goals.
5. Highlight your confidentiality and ethics: MEAL roles handle sensitive data. Mention your experience with data protection protocols and how you have maintained confidentiality in past roles. Be specific about any training you have delivered on data ethics.
6. Prepare for a practical test: Many MEAL interviews include a data exercise. Practice cleaning a messy dataset, creating a simple dashboard in Excel, or designing a data collection form in Kobo. Show your analytical thinking and attention to detail.
7. Align with the localization agenda: Understand the shift from top-down monitoring to community-driven learning. Be ready to discuss how you have incorporated community feedback into program decisions, and how you would support a developmental evaluation.
8. Ask smart questions: In the interview, ask about the Fund's current MEAL tools, how they measure success, and what the team's biggest data challenges are. This shows you are already thinking about how to add value from day one.