The Data Engineer builds and maintains the systems that power the organization’s data platform. This role is responsible for developing reliable data pipelines, maintaining data infrastructure, and enabling high-quality datasets that support analytics and decision-making across the organization. Data Engineers work closely with analysts, business stakeholders, and other engineers to ensure that da

Responsibilities Own methodological rigour and analytical quality for trials and surveys (30%): Design and analyse trials and surveys, including: Sample size and power calculations Stratification and experimental design Recommend the appropriate statistical methods (e.g., hypothesis testing, regression, ANOVA/mixed models) Lead analysis of agronomic and product trials to estimate treatment effects

The Global Data Analyst will use large, diverse, cross-country datasets to build foundational data products that enable better decision-making across the organization. This role will focus on creating high-quality dashboards and reports that are trusted, scalable, and widely used — in service of our mission: bigger harvests, healthier families, and richer soil for smallholder farmers. Responsibili