Monitoring, Evaluation, Accountability and Learning MEAL Officer

Posted: Nov 06, 2026 Expires: Not specified View Jobs in Data
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Job Summary

  • The MEAL Officer will be responsible for coordinating and strengthening the monitoring, evaluation, accountability and learning systems of the ChildSAFE Project. The role involves collecting, analysing and reporting project data, ensuring data quality, tracking project performance and generating evidence to support informed decision-making. The officer will also strengthen feedback and complaints mechanisms to promote accountability to children, families and communities.

Key Responsibilities

  • Coordinate project data collection, analysis, verification, storage and reporting in line with CRS and donor requirements.
  • Monitor project indicators, targets and performance, ensuring timely and accurate reporting.
  • Conduct routine data quality assessments and maintain reliable project databases and dashboards.
  • Develop and maintain MEAL tools, reporting systems and data collection procedures. Support project evaluations, surveys, field monitoring and documentation of lessons learned and best practices.
  • Strengthen feedback, complaints and response mechanisms within project communities. Train and mentor project staff and focal persons on MEAL tools and reporting requirements.
  • Ensure data confidentiality, informed consent, child safeguarding and compliance with data protection requirements.

Minimum Qualifications and Experience

  • Bachelor's degree in Monitoring and Evaluation, Statistics, Demography, Data Management, Social Sciences or a related field.
  • At least three (3) years' relevant experience in monitoring and evaluation, project data management or a related field.
  • Experience in developing data collection tools, databases, reports and performance tracking systems.
  • Experience in child protection, family strengthening or related social development programmes is an added advantage.
  • Practical knowledge of quantitative and qualitative research methods and statistical software such as SPSS, STATA, R or similar.
  • Experience with digital data collection tools such as KoboCollect, ODK or CommCare.
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