Experience and technical competencies:

To be successful in this role, you must have at least 3 years of experience in MEAL roles in humanitarian or development programmes. Moreover, we also expect the following.

Required

• Bachelor’s Degree in Statistics, Development Studies, Social Sciences, or related field.
  

• Experience in cash-based programming monitoring (protection and cash) .
  

• Strong skills in quantitative and qualitative data collection and analysis.
  

• Experience with digital data collection tools (Kobo, ODK etc.).
  

• Knowledge of humanitarian standards such as Sphere, CHS, and Protection Principles.
  

• Strong communication and report writing skills.
  

• Knowledge of both written & Spoken English
  

Monitoring and Data Collection

• Support the development and implementation of the project MEAL framework, including indicators, tools, and data management systems.
  

• Conduct baseline, post-distribution monitoring (PDM), and endline assessments for the project.
  

• Monitor implementation of protection activities, ensuring data collection aligns with protection monitoring standards.
  

Evaluation and Learning

• Support project evaluation as may be relevant.
  

• Document best practices and success stories from project implementation.
  

• Contribute to learning briefs and programme improvement plans.
  

Accountability to Affected Populations (AAP)

• Support establishment and management of Community Feedback and Complaint Mechanisms (CFM) where relevant.
  

• Ensure feedback is recorded, analyzed, and responded to in a timely manner.
  

• Promote safe and confidential reporting mechanisms, especially for sensitive protection concerns.
  

Data Management and Reporting

• Ensure high-quality, accurate, and timely data collection and analysis.
  

• Maintain project indicator tracking tools.
  

• Produce dashboards and data summaries upon request.
  

• Support programme teams in preparing donor reports.
  

Capacity Building

• Train field staff and enumerators on data collection tools and MEAL methodologies.
  

• Support programme teams to understand and use MEAL data for decision-making.
  

• Provide technical support to field teams on monitoring indicators and data quality.