MEAL Assistant (Monitoring and Evaluation Assistant)

Key Responsibilities

• Support the implementation of project M&E plans, logical frameworks, and indicator tracking tools (e.g., IPTTs).
• Assist in routine data collection from programme activities, partners, and beneficiaries using paper-based or digital tools (e.g., Kobo-Toolbox, ODK, Excel).
• Enter, clean, validate, and organize data to ensure accuracy, completeness, and consistency.
• Maintain project databases, filing systems, and data trackers.
• Conduct or support field monitoring visits, spot checks, and data verification exercises.
• Assist in organizing and facilitating surveys, focus group discussions (FGDs), key informant interviews (KIIs), post-distribution monitoring (PDM), and other assessments.
• Help prepare simple summary reports, charts, tables, and contributions to monthly, quarterly, or donor reports.
• Support documentation of lessons learned, success stories, and best practices.
• Assist with community feedback mechanisms (where linked to MEAL) by collecting and logging feedback or complaints.
• Provide basic training or support to field staff, enumerators, or partners on data collection tools and quality standards.
• Perform other related administrative or support tasks as assigned by the supervisor.

Qualifications and Experience

• Education : Bachelor’s degree (or Diploma in some contexts) in Statistics, Social Sciences, Economics, Development Studies, Public Health, Demography, Information Management, or a related field. Training or certification in Monitoring & Evaluation is an advantage.
• Experience : Typically 1–3 years of relevant experience in monitoring, evaluation, data collection, research, or programme support roles, preferably with NGOs or in humanitarian/development settings. Entry-level positions may accept less experience with strong academic background or internships.

Skills and Competencies

• Basic knowledge of M&E principles, results-based management, and indicators.
• Proficiency in Microsoft Office (especially Excel for data management); familiarity with digital data collection tools (Kobo, ODK) is highly desirable.
• Attention to detail, accuracy in data handling, and organizational skills.
• Ability to conduct field work, interact with communities, and work under supervision.
• Good written and verbal communication skills; report-writing ability.
• Analytical mindset for basic data interpretation and summarizing findings.
• Teamwork, reliability, and willingness to travel to project sites.
• Understanding of data protection, ethics, and accountability principles is an asset.
• Language skills as required (English, Hausa).