Job description
AgriNova Solutions is a leading agribusiness company focused on sustainable farming, market intelligence and end-to-end supply chain excellence. We empower growers, processors, and retailers with data-driven insights to optimize yields, reduce costs, and improve traceability.
We are seeking a highly motivated Agribusiness Data Analyst to join our Des Moines team. This role blends data science with practical agribusiness expertise to drive strategic decisions across procurement, production planning, and market forecasting.
In this role you will work closely with farm operations, sales, and logistics to turn raw data into clear, actionable recommendations that improve margins and sustainability.
Responsibility
- Design and maintain dashboards tracking yield, input costs, margins, and supply chain KPIs for multiple product lines.
- Develop forecasting models for demand, production planning, and inventory optimization using SQL, Excel, and BI tools.
- Collaborate with procurement, operations, and sales to translate data into actionable sourcing and production improvements.
- Analyze field and process data to identify efficiency opportunities, ROI, and risk mitigation strategies.
- Govern data quality, lineage, documentation, and compliance with privacy and security standards.
- Present clear data-driven recommendations to cross-functional teams and senior management.
- Support ad-hoc analytics for pricing strategy, market trends, and business development opportunities.
Qualification
- Bachelor's degree in agribusiness, economics, data science, engineering, or related field; master's preferred.
- 3+ years of experience in agribusiness analytics, data analysis, or supply chain roles.
- Strong SQL, Excel, and data visualization skills; experience with Python or R.
- Experience with ERP and forecasting software; knowledge of farm operations preferred.
- Excellent communication and stakeholder management; ability to translate data into business impact.
- Familiarity with data governance, data quality frameworks, and data security standards.
- Ability to work collaboratively in a fast-paced, cross-functional environment.