Monitoring and Evaluation Intern
Description
Job Description for Monitoring and Evaluation Intern
Title: Monitoring and Evaluation Intern
Reports to: Monitoring and Evaluation Team
Department: Planning Monitoring and Evaluation
Location: University of Global Health Equity, Kigali Office and Butaro Campus
Period of the assignment: Six (6) months

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Position overview
The University of Global Health Equity (UGHE) is committed to providing an academic experience rooted in global health and equity in access to quality health services. The UGHE is seeking an enthusiastic and self-driven Monitoring and Evaluation (M&E) Intern for our programs. The M&E Intern will ensure high standards and quality around M&E with the aim to promote high level program monitoring and successful learning across the University.

Duties and Responsibilities
• Participate in institutional planning processes
• Participate in the development of result-based M&E plan
• Participate in designing data collection tools and procedures
• Provide support to the M&E team in implementing the M&E plan
• Assist in data collection from the departments according to set expectations, timelines and quality standards
• Assist in data verification and analysis and suggest evidence-based recommendations for improvement
• Assist in tracking outputs and outcomes, consistent with UGHE strategic priorities and goals
• Provide technical support to departments for all M&E related activities
• Work with M&E team to prepare real-time and attractive M&E reports
• Assist in reviewing M&E reports from departments, baseline assessments, and evaluation reports
• Assist in conducting/ reviewing UGHE impact reports
• Carry out other M&E duties and responsibilities as assigned by the supervisor.

Qualifications
• University degree in global/public health, monitoring and evaluation, social sciences, economics, statistics, and health sciences
• Strong knowledge and skills in monitoring and evaluation
• Experience in monitoring and evaluation
• Experience in quantitative and qualitative research approaches
• Excellent skills in data analysis, presentation, and report writing
• High level proficiency in Microsoft Office, SPSS, or another data management software
• Excitement for working in a dynamic and fast-paced educational environment
• Excellent written and spoken English.