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MEAL Officer – AHEAD Project

Danish Refugee Council / Dansk Flygtningehjælp · Mogadiscio

🇬🇧 English
KoBo statistical analysis GDPR compliance

وصف الوظيفة

About the role

The MEAL Officer will lead Monitoring, Evaluation, Accountability and Learning activities for the AHEAD project, a multi‑year initiative that aims to shift humanitarian response from reactive aid to proactive, anticipatory action, particularly in conflict‑induced displacement contexts.

Key responsibilities

  • Design and lead country‑level impact evaluations in Somalia, including tool development, sampling, statistical and qualitative analysis to compare anticipatory action with reactive response.
  • Manage quantitative data collection through KoBo and conduct disaggregated analysis by age, gender and diversity.
  • Facilitate ground‑truthing by validating AI‑driven forecasts against community early‑warning indicators.
  • Organise after‑action reviews, contribute to case studies and support cross‑country learning via the AHEAD MEAL Technical Working Group.
  • Document co‑design of AAPs and AA mechanisms, track national endorsement and advocate for evidence‑based funding decisions.
  • Implement Community Feedback Mechanisms, including call centres and help desks, to ensure safe and inclusive interventions.
  • Monitor project indicators such as forecasting accuracy, stakeholder use of forecasts and beneficiary perceptions.
  • Conduct value‑for‑money and financial output analyses to compare proactive and reactive approaches.
  • Support hard‑to‑reach assessments and develop access strategies for vulnerable populations.
  • Train staff, partners and community committees on MEAL tools, data handling (GDPR) and conflict‑sensitive monitoring.
  • Compile evidence and learning reports for national and global forums.

Required profile

  • Advanced degree or equivalent experience in Monitoring & Evaluation, Social Sciences, Development Studies or related field.
  • Proven experience designing and implementing impact evaluations in humanitarian settings.
  • Strong analytical skills with ability to manage large datasets and conduct statistical analysis.
  • Familiarity with anticipatory action concepts and conflict‑induced displacement.
  • Excellent communication and stakeholder‑engagement abilities.

Required skills

  • KoBo data collection platform
  • Statistical analysis (quantitative and qualitative)
  • AI‑driven machine‑learning forecasting validation
  • Financial and value‑for‑money analysis
  • GDPR‑compliant data handling

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