MEAL Assistant at IsraAID

• Conduct background research to inform programme design.
• Support development of logframes and theories of change.
• Support in developing MEAL plans with clear indicators, tools, analysis, and reporting frameworks.
• Support in designing and refining of data collection tools (baseline, endline, FGDs, KIIs).
• Review and improve existing tools and data systems.
• Integrate team feedback to strengthen data management processes.
• Ensure timely data entry and updates in LogAlto and other systems.

• Lead accurate, timely data collection using participatory approaches.
• Conduct field monitoring, evaluations, and desk reviews.
• Analyze qualitative and quantitative data and share findings.
• Train staff on tools, data collection, and reporting.
• Facilitate learning and adaptive programming based on findings.
• Support preparation of program updates, donor reports, and completion reports.
• Track MEAL workplans and flag risks or delays for corrective action.

• Coordinate baseline, endline, and ongoing evaluations.
• Support assessments (KAP, PDM, Baseline, real-time evaluations).
• Develop TORs and support recruitment of external evaluators.
• Review survey reports to ensure quality and accuracy.
• Promote use of evaluation findings for programme improvement.

• Strengthen accountability systems, including feedback mechanisms (FRM).
• Collect and analyze community feedback for programme improvement.
• Build staff capacity in MEAL tools and approaches.
• Promote learning, documentation of best practices, and knowledge sharing.
• Support two-way communication with communities.

• Assist in maintaining strong stakeholder and partner relationships.
• Represent the organization in coordination forums in the absence of the MEAL Officer.
• Ensure continuous communication of findings to inform decision-making.

• Bachelor’s degree in one of the following fields: social sciences, statistics, demographics, monitoring and evaluation or a related field.
• Minimum of one (1) year of experience working in the field of MEAL (including indicator selection, target setting, data collection and analysis, facilitating learning processes, reporting, database management, and developing M&E and performance monitoring plans);
• Knowledge of the major evaluation types (process, impact etc.), methodologies (qualitative, quantitative, mixed method) and data collection and analysis methods.
• Experience in developing data collection instruments.
• Planning and managing surveys, developing and refining data collection methods and tools, conducting data quality assessments and oversight - experience and knowledge of participatory MEAL methods.

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