Bayer is a Life Science company with more than 150-year history and core competencies in the areas of health care and agriculture. With our innovative products, we are contributing to finding solutions to some of the major challenges of our time. The Business Insights role is focused on translating complex sales, distribution, and market data into actionable commercial strategies to drive demand-led decision-making.
Key Responsibilities and Tasks
Translate sales, distribution, and shipment data (sell-in/sell-out, inventory, returns) into clear, actionable insights for Customer Facing Units (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.
Work closely with finance and supply chain to integrate commercial, financial, and operational signals into actionable insights.
Leverage Artificial Intelligence in translating complex data into 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, with experience working closely with sales and Go-to-Market (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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