Reports to: The Principal Agricultural Market Economist
Location: Rabat, Morocco

Main purpose of position

The role of the consultant in applied economics is to contribute to the development, management, analysis, and reporting of research activities on different applied economics research themes. The consultant will play an important role in automating data collection, wrangling, analysis, and reporting. The consultant is expected to have a solid background in farm household level data analysis using Stata, and R or Python as well as an understanding of advanced econometrics. He/she will have a collaborative and inclusive approach and a track record in data analysis and report writing.

The International Center for Agricultural Research in the Dry Areas (ICARDA) is a treaty-based international non-profit research organization supported by CGIAR. ICARDA’s mission is to reduce poverty, enhance food, water, and nutritional security, as well as environmental health in the face of global challenges including climate change. We do this through innovative science, strategic partnerships, linking research to development and capacity development that take into account gender equality and the role of youth in transforming the dry areas. ICARDA works in partnership with governments, universities, civil society, national agricultural research organization, other CGIAR Research Centers, and the private sector. With its temporary Headquarters in Beirut, Lebanon, ICARDA operates in regional and country offices across Africa, Asia, and the Middle East. For more information: www.icarda.org

All CGIAR Centers are currently engaged into a reform process (“One CGIAR’”) that will help ICARDA and CGIAR achieve better impact through more strategically integrated research, unified governance, an integrated structure, and new research modalities across participating Research Centers. This transformation is supported by CGIAR donors who have committed to increased funding as a result of these reforms.  

• Designing and implementing farm household surveys.
• Coordinating field activities monitoring.
• Developing automation for primary [in-person surveys] and secondary data [online and offline] collection activities. 
• Literature review on selected thematic areas
• Creating predictive and prescriptive models that could have a positive impact on the efficiency of Socio-Economic Program (SEP) research.
• Driving all data analytics activities ranging from conceptualization, and visualization to operationalization.
• Performing statistical analysis on cross-sectional, time series, and panel data.