This staff member will enable the country office to achieve the WASH-related output results of the country programme. This, in turn, will contribute to the achievement of the outcome results of the country programme document. When done effectively, the achievement of the outcome results will improve child survival, growth and development, and reduce inequalities in the country.
This position, reporting to the Chief Statistician, leads UNICEF’s Computational Analytics and Geospatial Intelligence Unit, advancing data-driven strategies through cutting-edge analytics, geospatial intelligence, and frontier technologies. The primary function of this role is to strengthen UNICEF’s data capabilities by integrating computational modeling, predictive analytics, machine learning, and geospatial insights. The incumbent is responsible for leading the development of advanced analytics tools, automating data workflows, and supporting innovative data collection platforms and administrative records, ensuring that UNICEF can make impactful, real-time decisions across health, nutrition, migration, child-mortality, education, protection, WASH, poverty, climate, and emergency response.
This staff member will enable the country office to achieve the WASH-related output results of the country programme. This, in turn, will contribute to the achievement of the outcome results of the country programme document. When done effectively, the achievement of the outcome results will improve child survival, growth and development, and reduce inequalities in the country.
This position, reporting to the Chief Statistician, leads UNICEF’s Computational Analytics and Geospatial Intelligence Unit, advancing data-driven strategies through cutting-edge analytics, geospatial intelligence, and frontier technologies. The primary function of this role is to strengthen UNICEF’s data capabilities by integrating computational modeling, predictive analytics, machine learning, and geospatial insights. The incumbent is responsible for leading the development of advanced analytics tools, automating data workflows, and supporting innovative data collection platforms and administrative records, ensuring that UNICEF can make impactful, real-time decisions across health, nutrition, migration, child-mortality, education, protection, WASH, poverty, climate, and emergency response.
