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The International Institute of Tropical Agriculture (IITA), on behalf of the International Livestock Research Institute (ILRI), invites applications for the position of Assistant Data Analyst – Meteorological Agricultural. This role supports the ResComm2 project, aimed at improving food security and livelihoods in central Tanzania by analyzing meteorological and agricultural data. Duty Station: This is a Nationally Recruited Position, and the incumbent will be based in Dar es Salaam, Tanzania. Roles and Responsibilities: Collect, clean, and analyze meteorological data such as rainfall patterns, temperature variations, and other factors affecting agricultural activities in central Tanzania. Analyze agricultural data including crop yields, soil quality, and farming practices to evaluate the impact of agroecological interventions on smallholder farmers. Conduct statistical analysis to identify trends, correlations, and patterns in meteorological and agricultural data, providing insights for the ResComm II project. Prepare reports and visualizations to communicate findings, trends, and recommendations based on data analysis to project stakeholders. Assist in conducting field surveys, interviews, and on-site data collection activities, ensuring accurate and relevant meteorological and agricultural data are gathered. Support coordination and communication within the project team and with external stakeholders. Perform any other activities as assigned by the national coordinator. Qualifications and Experience: A bachelor’s degree in meteorology, agriculture, environmental science, statistics, or a related field with a minimum of 1 year of experience. Proficiency in data analysis tools such as Excel, R, Python, or specialized packages for meteorological and agricultural data analysis. Experience in analyzing meteorological data, agricultural datasets, and conducting statistical analysis. Good communication skills and ability to work collaboratively in a multidisciplinary team. Previous experience in analyzing meteorological and agricultural data in the context of development projects is advantageous. Additional Skills: Knowledge of remote sensing technologies and their application in agricultural and meteorological data analysis. Experience with Geographic Information Systems (GIS) and spatial analysis for mapping and analyzing environmental data. Strong problem-solving skills with the ability to develop solutions based on data analysis. Basic project management skills, including the ability to manage timelines and coordinate data collection and analysis activities. Ability to work independently and take initiative, demonstrating good organizational and time management skills. IITA-TZ-2025-R4D-001-NRS-DSM