MEAL Assistant (Monitoring and Evaluation Assistant)

About this role

The role is for a MEAL Assistant supporting monitoring, evaluation, accountability and learning activities for Hope Spring Community Humanitarian Initiative in Borno. It involves helping implement M&E plans, collecting and managing data from programmes and beneficiaries, and supporting field activities such as surveys and FGDs. The role assists with data entry, validation, reporting, and documentation of lessons and success stories. It also supports community feedback mechanisms and provides basic training to field staff as needed. The employer is a Nigerian NGO affiliated with Hope Spring Water, a UK charity focused on WASH-related work in humanitarian settings.

What you would do

• Support the implementation of project M&E plans and indicator tracking tools.
• Collect data from programme activities, partners and beneficiaries using paper or digital tools.
• Enter, clean, validate and organise data for accuracy and completeness.
• Maintain project databases, filing systems and data trackers.
• Conduct or support field monitoring visits and data verification exercises.
• Organise and facilitate surveys, FGDs, KIIs, PDM and other assessments.
• Prepare simple summary reports, charts and tables for monthly/quarterly/donor reports.
• Document lessons learned, success stories and best practices.
• Assist with community feedback mechanisms by collecting and logging feedback or complaints.
• Provide basic training or support to field staff on data collection tools and quality standards.

What they are asking for

• Bachelor's degree or Diploma in Statistics, Social Sciences, Economics, Development Studies, Public Health, Demography, Information Management or related field.
• Training or certification in Monitoring & Evaluation is an advantage.
• Typically 1 - 3 years of relevant experience in M&E, data collection, research or programme support (NGO/humanitarian setting).
• Strong knowledge of M&E principles, results-based management and indicators.
• Proficiency in Microsoft Office (especially Excel); familiarity with Kobo/ODK is highly desirable.
• Attention to detail, organisational skills and ability to work under supervision.
• Ability to conduct fieldwork, engage with communities and travel to project sites.
• Good written and verbal communication and report-writing skills.
• Analytical mindset for data interpretation and summarising findings.
• Teamwork, reliability and understanding of data protection and ethics.

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