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Role purpose
- To strengthen demand-led execution across multiple smallholder markets by translating available data, market research, and commercial signals into practical insights that improve decision-making, GTM effectiveness, and sales execution.
- This role supports both Seed and CP business within Sub Sahara countries, with focus on Seed.
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Key responsibilities and tasks
- Translate sales, distribution, and shipment data (sell-in/sell-out, inventory, returns) into clear, actionable insights for CFUs.
- Support Commercial Excellence and Go-to-Market teams on distributor segmentation, prioritization, and performance tracking
- Convert qualitative and quantitative market research (e.g farmer segmentation, needs and preferences) into practical commercial implications
- Build confidence and capability in data-led decision-making across CFUs through simple views, storytelling, and coaching
- Partner with the Channel & Internal data (SA) team to input smallholder use cases and data requirements into existing or new platforms
- Drive adoption of insights and tools rather than owning platform build
- Operate as part of the Commercial Operations work team, partnering day-to-day with Commercial
- Excellence and Go-to-Market to drive sales execution and demand-led decisions, and working closely with finance and supply chain to integrate
- commercial, financial, and operational signals into actionable insights.
- Leverage Artificial Intelligence in translating complex data into the action for commercial teams, maximizing performance at every customer touchpoint.
Key Working Relations
- Customer Facing Squad Leads
- Finance
- Unit Support Squad Leads
- Commercial Excellence
- R & D functions
- Supply management teams
- CS Leadership
Experience, Skills and Qualifications
- 6-8 years’ experience in commercial insights, performance management, analytics, or sales enablement
- Experience working across multiple countries or emerging markets
- Strong commercial and business acumen, experience working closely with sales and GTM teams
- Comfortable working with imperfect or emerging datasets and translating them into decisions
- Degree in business, economics, analytics, or related field
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How to Apply
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