The International Institute of Tropical Agriculture (IITA) is one of the world's leading research partners in finding solutions for hunger, malnutrition, and poverty. Our award-winning research for development (R4D) addresses the development needs of tropical countries. We work with partners to enhance crop quality and productivity, reduce producer and consu...
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We are seeking a motivated graduate intern with foundational knowledge in systems development, data analysis, and an understanding of programming concepts to support our ongoing efforts.
Key Responsibilities
Assist in the development and documentation of internal systems and tools (e.g. for staff record management, workflows, etc.)
Support the configuration and basic administration of low-code/no-code platforms (e.g., Power Automate, Power Apps, Google Workspace tools, or internal platforms)
Clean, structure, and analyze HR-related datasets to generate basic reports and Insights
Assist in maintaining dashboards and automations used by the People & Culture Unit
Participate in user testing and feedback sessions to improve internal tools
Conduct basic troubleshooting and offer first-level support for internal digital tools
Document system processes and create how-to guides for end users
Requirements
Recent graduate in Computer Science/Engineering, Information Systems, Statistics, or related fields
Foundational knowledge of programming or scripting (e.g., Python, JavaScript, SQL, or similar)
Knowledge of Microsoft packages
Familiarity with data tools such as Excel, Google Sheets, or Power Bl
Understanding of software/system development principles
Interest in HR tech, data systems, or process automation is a plus
Strong attention to detail, willingness to learn, and ability to follow through on assigned tasks
Good communication skills and ability to work in a collaborative environment.
Benefits
Practical experience in digital transformation within a people management context
Exposure to real-world HR data and systems
Mentorship and skill development in programming, data visualization, and system design
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