1. Proven professional competence and experience in designing and undertaking agricultural surveys in Africa, in general, and use of CAPI in particular. The candidate must be competent in network management, and in the development and strengthening of Agricultural Statistical Systems in Africa; possess sound analytical and problem-solving skills, and a proven experience in providing agricultural statistical support to African countries; and, good skills for planning and organization of own work and meeting deadlines;
2. Ease of working in a collaborative style and with good interpersonal skills;
3. Openness to sharing information and keeping people informed; strong communications skills, both oral and written, especially ability to draft/edit a variety of written reports and studies in a clear, concise style.
4. Ability to interpret and relate statistical data to socioeconomic developments;
5. Sound experience and competence in the use of standard soft-wares; and,
6. Ability to write reports, make presentations complete tasks on a timely basis.
The candidate must possess at least a Master’s degree in Statistics and/or economics, with a very good quantitative statistical and IT background, including agricultural data processing, analysis and management. S/he must have a minimum of 5 years relevant professional experience in using CAPI, and Capacity Building in Statistics.
The candidate should have an excellent knowledge of written and spoken English and/or French; and, a good working knowledge of the other language.
The assignment involves building country capacity in the use of CAPI using mobile devices called Survey Solutions (SuSo), in addition to any other newly developed cost-effective method. National Agricultural Statistical Systems (NASS) and data are in a sorry state in many African countries – the systems are weak, uncoordinated, poorly resourced, and essentially unsustainable. Moreover, their outputs are wanting in terms of quantity, quality, and dissemination. The situation has been exacerbated by new data requirements to inform policy on emerging development issues such as food production vs. biofuels, global warming, environment, and food security. In response to meeting these challenges in developing countries, newly cost-effective methods for producing agricultural statistics (including the use of Computer-Assisted Personal Interviewing - CAPI-) have been developed, and AfDB is providing Technical Assistance (TA) to African countries for applying those methods.
Consultancy Services for CAPI - Survey Solutions in Agricultural Statistics – ECST