About the Role
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. This position offers a steep learning curve, allowing you to sharpen your technical depth and develop the judgement that comes from working on critical policy questions.
Key Responsibilities
- Analytical Ownership: Lead analytical workstreams focused on malnutrition drivers and the systems/financing arrangements that shape nutrition outcomes across low- and middle-income settings.
- Data Management & Analysis: Source, clean, and analyze complex datasets from public, administrative, and proprietary sources (DHS, MICS, IHME, World Bank, BOOST, WHO, OECD CRS, national budget/expenditure data).
- Analytical Product Delivery: Develop and deliver core analytical products such as costing models, public expenditure reviews, financing gap analyses, and investment cases. Translate these into slides, briefs, and technical notes.
- Client Engagement: Directly engage with clients in working sessions, technical reviews, and presentations, translating quantitative findings into policy-relevant language.
- Sectoral Application: Apply a solid understanding of nutrition, public health, and/or economics to ensure analyses reflect practical decision-making and implementation realities.
- Team Collaboration: Contribute to a supportive and technically rigorous team culture.
Requirements & Qualifications
- Education: 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.
- Experience: 3–5 years of professional experience in quantitative analysis within consulting, research, government, or international development.
- Data Skills: Demonstrated ability to source, clean, and interpret complex datasets (DHS, MICS, IHME, World Bank, BOOST, WHO, OECD, etc.).
- Technical Tools: Strong proficiency in at least one statistical tool (Stata, R, Python, or equivalent) with the ability to conduct independent analyses.
- Domain Knowledge: Working understanding of nutrition's intersection with health, education, agriculture, social protection, and WaSH. Familiarity with global nutrition architecture (Scaling Up Nutrition, Nutrition for Growth, GFF) is highly desirable.
- Soft Skills: Sharp problem-solving instincts, excellent written and verbal English communication, and early signs of leadership. Working proficiency in French is a plus.
