Volunteer (CGIAR MEL - Research & Development Data Analyst)
Monitoring, Evaluation and Learning (MEL) is multi-institutional online platform for integrated management, monitoring, and reporting of projects, from planning to budgeting, risks’ assessment, knowledge sharing and more. It creates synergy between research and development partners, bridging competences in a results-oriented enterprise environment. The platform allows to save resources and time, reducing paperwork, facilitating administrative steps, quickening project related communications and enabling near real-time data collecting to inform decision-making.
MEL is the result of the collaboration between CGIAR Research Program on Grain Legumes and Dryland Cereals (GLDC), CGIAR Research Program on Roots, Tubers and Bananas (RTB), CGIAR Research Program on Fish Agri-food Systems (FISH), The International Center for Agricultural Research in the Dry Areas (ICARDA), The International Potato Center (CIP), The World Agroforestry Center (ICRAF), The International Institute of Tropical Agriculture (IITA), ICARDA Geoinformatics Unit (GU), and is powered by iMMAP, Codeobia, D-Space and Amazon Web Services.
Monitoring, Evaluation and Learning (MEL) is multi-organizations and multi-programs online platform for integrated planning, management, monitoring, and impact reporting of Research and Development Inititiatives aiming to contribute to the UN Sustainable Development Goals (SDG).
MEL creates synergy between research and development partners, bridging competences in a results-oriented platform. It quickens project related communications and enables near real-time data collecting to inform decision-making. The platform comes with an integrated Open Access repository that boosts the projects outreach. Carved in the system is the Knowledge sharing toolset, which includes an internal discussion forum, a technical assistance chat, project-dedicated web pages and a communication-friendly module to write and disseminate project related blog stories.
The successful candidate will be passionate about Monitoring, Evaluation and Learning (MEL) mission and have both internal and external facing responsibilities. The Research & Development (R&D) Data Analyst is responsible for supporting the entry, analysis, validation and exporting/visualizing of reported data. The incumbent shall also research data repository and learning tool resources, ensuring the repository has up-to-date materials and making sure that it is accessible to users.
- Support the analysis, validation, reporting and visual presentation of primary data collections and secondary reviews at various points across different initiatives.
- Conduct data verification, triangulation and validation through multiple sources, both primary and secondary (including media monitoring, local authorities, network of key informants).
- Maintain the MEL research data repository and learning tool resources, ensuring the repository has up-to-date materials and making sure that it is accessible to users.
- Support with literature / desk review, and carry out extensive and in-depth data analysis of the datasets collected for different studies.
- Support in drafting thematic research, designing survey methodologies, and monitor data collection/review efforts in close coordination with the M&E Leaders.
- Collaborate with, and/or assist MEL Team members on development and preparation of concept note, posters, presentations, research proposals and learning material.
- Perform other duties as may be assigned.
- Excellent English written and oral communications skills.
- Strong project management, organizational, and administrative skills/attitudes.
- Proficient with Microsoft Office (Excel) and preferably other statistical packages.
- Must be able to use online storage systems and form builders.
- Desired but not required:
- Experience working with Research and Development Organizations or INGO.
- Experience in training material/toolkits development.
- Master’s degree in statistics, agricultural economics, monitoring and evaluation, impact assessment or a relevant quantitative social science.
- Experience in Mali, Burkina Faso, Nigeria, Niger, Sudan, Ethiopia, Uganda, Tanzania, Malawi, Zambia, Mozambique, Ghana, Kenya, Malawi, India, Myammar, Bangladesh, Cambodia, Vietnam, Philippines, Indonesia.
As a volunteer, you will help manage some tasks in MEL while learning monitoring and evaluation as a reward! This position also provides an excellent opportunity to gain information management experience with an international research organization!
The volunteer can be home-based, or work anywhere with good communications and internet connection. The successful candidate should be available to commence the volunteer position as soon as possible for a period of 6 months, for only 10 – 40 working hours weekly on average. This position is open to international applicants. The incumbent first 4 (four) weeks will be under probation period and during this period the volunteer’s competency, performance and conduct will be evaluated.
WorldFish is committed to promoting a work environment where diversity of thought, style, culture and experience is valued. We support individual performance and potential in achieving our organizational goals and mission. We are an equal opportunities employer and professionals from developing countries are encouraged to apply.
How to apply
Application process is rolling. Interested applicants are invited to submit the following information online:
- A cover letter including a 2-page (max) description of why you are an ideal candidate and what you would bring to the role;
- A current curriculum vitae;
- Names and contacts (telephone, fax, and e-mail addresses) of three professional referees who are familiar with your qualifications and work experience. Your nominated referees ideally should have persons from each of the following category: direct supervisor, internal peer and/or direct report.