How to Apply: Send your application to careers@acumen.org or visit the application link provided on this page to submit your application.
Show Your MEL Data Story
This role lives at the intersection of data, impact, and technology. Hiring managers will be looking for proof that you can turn messy partner submissions into clean, decision-ready dashboards and reports.
1. Lead with your MEL toolkit: On your CV, list the exact tools you've used—Power BI, Salesforce, KoBoToolbox, R, Python—and give one concrete example of a dashboard or report you built. For instance, mention a time you automated a quarterly report that saved your team days of work.
2. Show your data quality discipline: Describe a specific situation where you caught a data quality issue—like duplicate records or missing values—and how you resolved it. Hiring managers want to see that you have a systematic approach to validation and cleaning.
3. Quantify your impact: Use numbers to show the scale of data you've managed. For example, 'Consolidated data from 20 partners across 5 countries, ensuring 98% data completeness for donor reporting.'
4. Prepare a portfolio of your work: Bring screenshots or a link to dashboards, infographics, or reports you've created. Be ready to walk through how you chose the visuals and what insights you derived.
5. Practice explaining data to non-technical audiences: You'll need to communicate results to programme teams and partners. Prepare a short, jargon-free explanation of a complex analysis you've done, focusing on the 'so what' for the programme.
6. Understand the international development context: Be ready to discuss how MEL differs in multi-country, multi-partner settings. Mention any experience with donor reporting (e.g., Mastercard Foundation) and compliance requirements.
7. Show your interest in AI and technology: The posting mentions a growing interest in AI-powered solutions. Talk about any courses, projects, or experiments you've done with AI for data analysis or reporting—even if it's just a side project.
8. Ask smart questions about the role: Prepare questions that show you've thought deeply about the challenges, like 'How do you currently handle data quality across partners?' or 'What are the biggest reporting bottlenecks you face?' This shows you're already thinking like a problem-solver.