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TJ
The Judge Group
Agronomy Analytics Specialist
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Job Description
Agronomy Analytics Specialist at The Judge Group Agronomy Analytics Specialist at The Judge Group in Ankeny, Iowa Posted in 7 days ago.
Type:
full-time
Agronomy Analytics Specialist Location:
Johnston, IA 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.
Technical Focus Areas Data Analytics:
Strong analytical background required.
GIS Technologies:
Experience with Arc
GIS, 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. Preferred Industry Background Candidates should ideally have experience across:
Agriculture/Agronomy Crop Science Seed Companies Agricultural Technology Farm Equipment Industry Manufacturing Environments Dealership Operations Customer-Facing Agricultural Solutions Education Requirements Minimum:
Bachelor's Degree in Agronomy or related agricultural discipline.
Preferred:
Master's Degree in Agronomy, Crop Science, Agricultural Engineering, Data Analytics, or related field.