A Master's degree in Public Health, Public Health Nutrition, Health Economics, Economics, Development Economics, Statistics, or a closely related field from a reputable institution.
3–5 years of professional experience in quantitative analysis within consulting, research, government, or international development.
Demonstrated ability to source, clean, and interpret complex datasets — including aggregated nutrition, health, and social sector data from sources such as DHS, MICS, IHME, World Bank, BOOST, WHO, OECD, and national budget systems.
Strong proficiency in at least one statistical or analytical tool (Stata, R, Python, or equivalent), with the ability to run and interpret analyses independently.
A working understanding of the multi-sectoral nature of nutrition and its intersections with health, education, agriculture, social protection, and WaSH.
Familiarity with the global nutrition architecture and key initiatives (e.g., Scaling Up Nutrition Movement, Nutrition for Growth commitments, Power of Nutrition, GFF). Direct project experience is an advantage but not required.
Sharp problem-solving instincts — the ability to structure ambiguous questions and move them toward defensible answers.
Excellent written and verbal communication in English, with the ability to distil complex findings for non-technical audiences. Working proficiency in French is an advantage given our portfolio in Francophone Africa.
Initiative, ownership, and the early signs of leadership — the capacity to manage your own tasks well and support others as projects scale.
GK
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