Responsibilities or duties

In this role, you will:

• Take ownership of analytical workstreams within projects focused on the drivers of malnutrition and the systems and financing arrangements that shape nutrition outcomes — particularly for women, children, and marginalised communities across low- and middle-income settings.
• Source, clean, and analyse complex datasets from public, administrative, and proprietary sources (DHS, MICS, IHME, World Bank, BOOST, WHO, OECD CRS, national budget and expenditure data), with the analytical rigour and transparency expected of work that informs major financing decisions.
• Deliver core analytical products — costing models, public expenditure reviews, financing gap analyses, prioritisation and investment cases, evidence syntheses — and translate them into outputs (slides, briefs, technical notes) that move client thinking.
• Engage directly with clients in working sessions, technical reviews, and presentations, building the judgement to communicate quantitative findings in policy-relevant language.
• Bring sectoral grounding — applying your understanding of nutrition, public health, and/or economics to ensure analysis reflects how decisions actually get made and implemented.
• Contribute to a team culture that takes both the technical work and the people doing it seriously.

Qualifications or requirements

This role offers a genuinely steep learning curve. You will sharpen technical depth and develop the judgement that comes from working on policy questions where the answers matter.

Experience needed

Requirements

• 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.

• Take ownership of analytical workstreams within projects focused on the drivers of malnutrition and the systems and financing arrangements that shape nutrition outcomes — particularly for women, children, and marginalised communities across low- and middle-income settings.
• Source, clean, and analyse complex datasets from public, administrative, and proprietary sources (DHS, MICS, IHME, World Bank, BOOST, WHO, OECD CRS, national budget and expenditure data), with the analytical rigour and transparency expected of work that informs major financing decisions.
• Deliver core analytical products — costing models, public expenditure reviews, financing gap analyses, prioritisation and investment cases, evidence syntheses — and translate them into outputs (slides, briefs, technical notes) that move client thinking.
• Engage directly with clients in working sessions, technical reviews, and presentations, building the judgement to communicate quantitative findings in policy-relevant language.
• Bring sectoral grounding — applying your understanding of nutrition, public health, and/or economics to ensure analysis reflects how decisions actually get made and implemented.
• Contribute to a team culture that takes both the technical work and the people doing it seriously.

• Quantitative analysis
• Data sourcing, cleaning, and analysis
• Statistical or analytical tools (Stata, R, Python, or equivalent)
• Understanding of nutrition, public health, and economics
• Problem-solving
• Written and verbal communication in English
• Working proficiency in French (advantage)
• Initiative, ownership, leadership

• 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.
• Strong proficiency in at least one statistical or analytical tool (Stata, R, Python, or equivalent).
• A working understanding of the multi-sectoral nature of nutrition.
• Familiarity with the global nutrition architecture and key initiatives.
• Sharp problem-solving instincts.
• Excellent written and verbal communication in English.
• Initiative, ownership, and the early signs of leadership.