Performance and Digitalization Analyst at IITA - International Institute of Tropical Agriculture

Duties

• Lead the design and continuous improvement of interactive dashboards and visual analytics in Power BI to deliver real-time insights on work orders, staff performance, projects, and operational KPIs.
• Apply advanced prompt engineering and generative AI to extract actionable insights from workforce, project, and operational data and provide clear recommendations to the Head of FMS.
• Analyse workforce, project, and operational data to identify trends, generate insights, and support evidence-based reporting and planning.
• Prepare staff requisitions and coordinate the renewal of contracts for short-term and casual employees.
• Use prompt engineering and generative tools to produce high-quality documents such as terms of reference, high-quality reports, official correspondence, meeting minutes, presentations, and other administrative documents to support Unit operations.
• Maintain timesheet records for temporary and casual employees across FMS sections and facilitate the monthly submission of required documentation to the Payroll Office.
• Develop and coordinate staff learning and capacity-building initiatives by preparing training materials and knowledge resources, and serving as the primary liaison with internal and external trainers on training planning, delivery, logistics, and post-training evaluations including travel and administrative arrangements.
• Use modern tools to create engaging content and enhance FMS social media presence in line with organizational standards.
• Identify and recommend opportunities to improve operational efficiency through the adoption of innovative digital tools, process improvements, and data-driven solutions.
• Provide technical support and guidance to colleagues on data visualization, reporting techniques, and the effective use of digital productivity tools.
• Collate, analyse, and prepare construction and project performance data for monthly management reports.
• Perform any other duties as may be assigned by the supervisor.

Qualifications

• HND/B.Sc. in a STEM discipline, with AWS Certified AI Practitioner (AIF-C01) or an equivalent professional certification from an accredited body.
• A minimum of eight (8) years of relevant experience in a similar role is required, preferably with experience in facilities management, corporate services, operations coordination, or a research institute environment.

Competencies:
The ideal candidate must:

• Demonstrate ability to craft effective prompts and apply generative AI tools to real operational and administrative challenges.
• Understand Machine Learning Fundamentals
• Demonstrate understanding of responsible AI practices, data privacy, and information security.
• Analyze, interpret, and visualize data.
• Communicate effectively, both verbally and in writing.

Remunaration

• We offer highly competitive salary with equally attractive benefits and excellent working conditions in a pleasant campus environment.