Beement Alemayehu

Beement Alemayehu is a development professional with expertise in economics. At Universalia, he has provided advisory services in the field of monitoring and evaluation in an international development context for various international organizations and MDBs, including the WFP, the United Nations Children’s Fund (UNICEF), AfDB, Global Affairs Canada (GAC), the International Labour Organization (ILO), Food and Agriculture Organization (FAO), the CDB, the International Federation for the Red Cross (IFRC), and the International Committee for the Red Cross (ICRC).

At Universalia, Beement has contributed to several evaluations including country programme evaluations, cluster evaluations, program(me) evaluations, strategic evaluations, evaluation of funds for MDBs, and (meta-)synthesis reports. Beement has cultivated thematic expertise in the fields of social protection, social policy, and public financial management, including contributions to several evaluations for UN agencies and MDBs.

Additionally, Beement has worked with the Quality Assurance (QA) Focal Area in various capacities, including designing complex quantitative and qualitative QA review templates for the WFP, FAO, UNICEF and GAC, conducting QA reviews for the WFP, UNICEF, ILO and GAC, and contributing to annual reports for the WFP, UNICEF and ILO.

Prior to joining Universalia, Beement worked with IHS Markit as a Country Risk Analyst covering Sub-Saharan Africa. He has work experience in international development, country risk analysis, consulting, macroeconomics, finance, public policy, and management. Beement holds an MSc in Development Management from the London School of Economics and a Bachelor of Arts in Economics and International Development Studies from McGill University in Montreal. Beement’s academic training specializes in macroeconomics, development economics, and international development. Beement is fluent in English, Amharic, and Spanish with working proficiency in French. Beement is proficient in several software’s and platforms, including Microsoft Excel, APL, Python, R, NVivo, Dedoose, Atlas Ti and SurveyMonkey, Canva, Bloomberg LP.