Agronomy Analytics Specialist
Job in
Johnston, Polk County, Iowa, 50131, USA
Listed on 2026-09-21
Listing for:
The Judge Group
Full Time
position Listed on 2026-09-21
Job specializations:
-
Research/Development
Agriculture / Farming, Information & Knowledge Management -
Science
Agriculture / Farming, Information & Knowledge Management
Job Description & How to Apply Below
Duration: 12 months with possible extension
Position Overview:
This role is aligned with the R&D side of Agronomic Functional Systems and focuses on developing and supporting new agricultural technologies, potentially in collaboration with university research partners. The position combines agronomy expertise, data analytics, and practical farming knowledge.
Key Responsibilities- Support research and development initiatives related to agronomic systems.
- Work with agricultural data analytics and technology-driven farming solutions.
- Collaborate with dealerships, customers, and manufacturing teams.
- Analyze farm-related data to improve agricultural outcomes and product functionality.
- Contribute to new technology development, including partnerships with universities and research institutions.
- Interpret and utilize satellite and geospatial data for agronomic applications.
- Data Analytics: Strong analytical background required.
- GIS Technologies: Experience with ArcGIS, GIS tools, and spatial data analysis.
- Satellite Data: Approximately 10% of the role involves satellite/geospatial data analysis.
- Agriculture/Farm Operations: Remaining 90% of the work focuses on farming systems, agronomy, and field applications.
- Ability to write code for data analysis, automation, and interpretation of agronomic datasets is highly preferred.
Candidates should ideally have experience across:
- Agriculture/Agronomy
- Crop Science
- Agricultural Technology
- Manufacturing Environments
- Dealership Operations
- Customer-Facing Agricultural Solutions
- Bachelor's Degree in Agronomy or related agricultural discipline.
- Master's Degree in Agronomy, Crop Science, Agricultural Engineering, Data Analytics, or related field.
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