Description du poste
Position: Agricultural Data Analyst Company: Rwanda Agriculture Board (RAB) Location: Huye, Rwanda Experience: 2-4 years Education: Bachelor’s degree in Agriculture, Data Science, Statistics or related field Employment Type: Full-time Industry: Agriculture Department: Data & Analytics Salary: SSP 800,000 – 1,200,000 per month Vacancies: 1 Company Overview Rwanda Agriculture Board (RAB) is the leading governmental institution dedicated to the development and sustainability of Rwanda’s agricultural sector. With a mandate to improve food security, promote agribusiness, and support smallholder farmers, RAB operates across the nation, delivering research, extension services, and market facilitation. As a cornerstone of Rwanda’s economic growth, RAB collaborates with international partners, NGOs, and private enterprises to implement innovative solutions that boost productivity and resilience. The organization is recognized for its commitment to excellence, transparency, and inclusive development, making it a premier employer for professionals seeking meaningful impact. This role contributes directly to Rwanda Jobs initiatives, supporting the nation’s vision of modern, data‑driven agriculture. Job Overview The Agricultural Data Analyst will play a pivotal role in transforming raw agricultural data into actionable insights that drive policy decisions, improve farm management practices, and enhance market linkages. Reporting to the Head of Data & Analytics, the analyst will work closely with field officers, researchers, and technology teams to collect, clean, and analyze datasets covering crop yields, soil health, weather patterns, and supply chain logistics. The position offers a unique opportunity to influence national strategies, support career opportunities in Rwanda, and be part of a forward‑thinking team that values innovation and evidence‑based approaches. For more information about RAB, visit Rwanda Agriculture Board . Key Responsibilities Collect, validate, and integrate agricultural data from multiple sources, including satellite imagery, IoT sensors, and farmer surveys. Develop and maintain dashboards and visualizations that communicate trends to stakeholders. Perform statistical analyses to identify factors affecting crop productivity and recommend interventions. Collaborate with extension officers to translate analytical findings into practical guidance...