Onno Hoffmeister has extensive work experience in the field of statistics and data analysis. Onno worked as the Chief of the Statistics Production Unit at UNCTAD, where they were responsible for coordinating the production of statistics on international trade and development. Onno also designed and maintained statistics production systems and developed methods for data estimation and editing.
Prior to that, Hoffmeister worked as a Statistician at the Food and Agriculture Organization of the United Nations, where they contributed to statistical research and analysis. Onno also served as a Statistical Officer at the European Commission, where they handled statistical data for various projects.
Hoffmeister's experience also includes academic positions, such as being an Academic Assistant at the University of Hamburg and an External Collaborator at DIW Berlin. Additionally, they worked as a Project Manager at Integrationet e.V.
Furthermore, Hoffmeister has served as a Short-term Expert at Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH, where they participated in several projects related to economic policy formation and capacity building. Their responsibilities included conducting research and analysis, as well as providing expertise on various economic indicators and forecasting models.
Overall, Onno Hoffmeister has a strong background in statistics, data analysis, and policy formation, with a focus on international trade and development.
Onno Hoffmeister pursued their higher education starting in 1996 at Freie Universität Berlin, where they obtained a Master's degree in Economics in 2003. Onno then proceeded to enroll at European-University Viadrina from 2003 to 2005 and successfully completed their Doctor of Philosophy (PhD) in Welfare Economics. During their doctoral program, their research focused on inequality and poverty, specifically exploring topics such as food expenditure and the cost-of-living index. In addition to their formal education, Onno Hoffmeister also obtained a certification in Data Science: Machine Learning from Harvard University in June 2020.