(RFP301446) – INTERN- PABRA
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Job Summary
INTERN- PABRA
THE ORGANIZATION
The Alliance of Bioversity International & CIAT delivers research-based solutions that harness agricultural biodiversity and sustainably transform food systems to improve peoples lives. Alliance solutions address the global crisis of malnutrition climate change biodiversity loss and environmental degradation.
The Alliance works with local national and multinational partners across Sub Saharan Africa Latin America and the Caribbean and Asia and with public and private sectors. The Alliance is part of CGIAR a global research partnership for a food-secure future dedicated to reducing poverty enhancing food and nutrition security and improving natural resources and ecosystem services.
About the position
The Alliance is looking to recruit for an Intern under Pan-Africa Bean Research Alliance (PABRA) to Strengthen Monitoring Evaluation Learning (MEL) and data management systems across PABRA programmes by supporting high-quality data collection management analysis visualization reporting and digital innovation. The internship will provide practical experience in managing multi-country MEL systems while contributing to evidence generation adaptive management organizational learning and donor reporting.
The internship will support Monitoring Evaluation Learning and Data Management functions across PABRAs regional programmes including but not limited to:
Key Duties and Responsibilities
- Compile clean validate and manage project datasets to ensure data quality and consistency.
- Maintain project databases indicator tracking systems and data repositories.
- Conduct routine data quality assessments and validation exercises.
- Prepare analysis-ready datasets to support reporting learning and decision-making.
- Design digitize test and deploy monitoring and survey tools using KoboToolbox ODK ONA or related digital platforms.
- Configure validation rules skip logic and quality control mechanisms to improve data integrity.
- Support maintenance troubleshooting and continuous improvement of digital data collection systems
- Analyse project monitoring data using Excel Power BI R Stata Python or related analytical tools.
- Develop dashboards visualizations summary tables charts and analytical reports.
- Support GIS-based mapping and spatial visualization of project interventions where applicable.
- Generate evidence products that support programme planning adaptive management and strategic decision-making.
- Support tracking and reporting of project indicators milestones and performance targets.
- Contribute to baseline midline endline and special evaluation studies.
- Support preparation of quarterly annual and donor technical reports.
- Document project achievements lessons learned best practices and success stories to strengthen organizational learning.
- Organize and maintain programme knowledge products and information resources.
- Prepare presentations learning briefs technical summaries and communication materials.
- Support dissemination of lessons learned
Required Skills:
Potential candidates should be a recent graduate (Less than 1 year from the time of completion) of masters degree in Statistics Monitoring and Evaluation Data Science Agricultural Economics Economics Geographical Information Systems Computer Science Development Studies GIS or a related discipline. Technical Expertise Demonstrated interest in Monitoring Evaluation Learning and Data Management. Understanding of data quality assurance monitoring systems and results-based management. Familiarity with digital data collection platforms and database management principles. Knowledge of GIS applications and spatial data management is an added advantage. Data and Analytical Skills Proficiency in Microsoft Excel and data management techniques. Familiarity with statistical software such as R Stata SPSS or Python. Experience with Power BI Tableau or other data visualization platforms is an added advantage. Ability to clean analyse interpret and present data for technical and management audiences. Professional Competencies Strong analytical organizational and problem-solving skills. Excellent written and verbal communication skills. Ability to manage multiple assignments while maintaining attention to detail. Ability to work effectively in multicultural and multidisciplinary teams.
Required Education:
Potential candidates should be a recent graduate (Less than 1 year from the time of completion) of masters degree in Statistics Monitoring and Evaluation Data Science Agricultural Economics Economics Geographical Information Systems Computer Science Development Studies GIS or a related ExpertiseDemonstrated interest inMonitoring Evaluation Learning and Data of data quality assurance monitoring systems and results-based manage
