The International Institute of Tropical Agriculture (IITA) invites applications for the internationally recruited position of Data Analyst to operate under the Consortium for Improving Agriculture-based Livelihoods in Central Africa (CIALCA-www.cialca.org).
The International Institute of Tropical Agriculture (IITA) is a not-for-profit institution that generates agricultural innovations to meet Africa’s most pressing challenges of hunger, malnutrition, poverty, and natural resource degradation. Working with various partners across sub-Saharan Africa, IITA improves livelihoods, enhance food and nutrition security, increase employment, and preserve natural resource integrity. IITA is a member of CGIAR, and a Partner in GFAR.
The Data Analyst supports Research for Development activities across the CIALCA region, which includes Burundi, Rwanda and eastern DR Congo. The perfect candidate will have a background in a quantitative or technical field, will have experience working with developing data management and data collection systems, analysing large data sets, and will have some experience in data-driven decision making.
He/She will focus on results, be a self-starter, and have demonstrated success in using analytics to drive the understanding, growth, and success of our agricultural research products. This position is based full time in our office in Bujumbura, Burundi or Kigali, Rwanda.
The Data Analyst will work across the following three areas:
Research Design and Implementation
• Interact with a wide variety of people and teams to identify opportunities for, design, and assess improvements to research and development
design and implementation.
• Optimize experimental design and sampling frames.
• Collaborate with scientists and mobile app developers to improve data collection tools (ODK and others).
• Support the development of big data sets to empower operational and exploratory scientific analysis.
• Develop, improve and maintain scripts for automating analysis and transfer of data collected through ODK tools to databases.
Exploratory Data Analysis
• Develop and implement procedures for data verification and curation.
• Liaise with database engineers to develop a searchable, web-based repository assembling existing experimental and household agronomic, socio-economic and health data.
• Conduct statistical analyses of experimental and survey-based agronomic, socio-economic and/or health data.
• Use data analysis results to support science and development teams in improving data collection, analysis and reporting.
Decision Support Tools
• Collaborate with geospatial information specialists to develop spatial prediction models.
• Communicating experiment al results and implications to research and development teams.
• Support scientists in influencing government, public and private policies through visualization and presentation of data-based recommendations.
• Liaise with software and app developers to integrate prediction models into decision support tools.
For information about qualifications, competencies and application procedure, click here.