Business Intelligence Analyst Consultant (Agriculture Markets) at Busara Center

Key Accountabilities and Project Deliverables:

The Business Intelligence Analyst consultant will collaborate closely with the Embe project team, Busara research team and engage with developers to perform a variety of tasks, including but not limited to:

• Conduct in-depth market analysis to identify trends, gaps, and opportunities in the agriculture sector, with a focus on digital transformation and product innovation.
• Maintain and leverage an extensive network with key stakeholders, agribusinesses, farmer organizations, and relevant government or development partners.
• Gather, analyze, and present data on user and market needs to inform product requirements, roadmap, and strategic decisions.
• Collaborate with product managers, researchers, engineers, and designers to translate business intelligence into effective technology solutions for the agriculture sector
• Identify risks and recommend strategies for market entry, growth, and competitive differentiation.
• Track competitors, new entrants, and external factors that impact the agriculture ecosystem and digital product uptake.
• Develop regular reports and actionable dashboards for the leadership team and product stakeholders.
• Contribute to the design, execution, and dissemination of the Embe project
• Participate in field work for assigned projects as may be required.

Required Competence & Expertise

• Bachelor’s degree in Business, Marketing, Statistics, Agricultural Economics, Agribusiness, or related field.
• At least 5 years’ experience in market analysis, business intelligence, or research, with a strong focus on the agriculture sector in Kenya.
• Demonstrated experience supporting technology or software product development teams.
• Established professional network in the regional agriculture space (e.g., with cooperatives, value chain actors, government bodies, NGOs).Excellent communication, data visualization, and presentation skills.
• Strong knowledge of data analysis tools (Excel, SQL, BI platforms, R, Python).