OBJECTIVE: The Analyst will be responsible for processing, analyzing, and summarizing research data collected from on-farm agronomic and environmental research trials and studies. Assist in development of on-line decision management tools for farmers and agronomists. Design, develop, and enhance data collection, processing, and reporting tools. This position reports to the RCFI Analytics and Insights Lead.


  • Aggregate, process, and archive present and historical spatial and non-spatial agronomic and environmental data
  • Perform statistical analyses of precision ag data, including remote sensing of crop canopy, yield maps, agriculturally relevant weather indicators, soil characteristics and water quality
  • Utilize ArcMap, QGIS, MS Excel, Python, and R applications to perform or automate wrangling, summarization, and analysis of data
  • Create reports, visual and written summaries and communicate findings of data analyses to diverse audiences
  • Ensure adherence to data quality standards
  • Assist in developing and editing proposals, technical papers, articles, and presentations
  • Develop insights from ISA data that can be used for technical assistance by Research and Conservation Agronomists


  • Solving Complex Problems
  • Results Driven
  • Problem Solving/Analysis
  • Collaboration Skills
  • Prioritizing and Organizing Work
  • Ownership of responsibilities
  • Willing to learn and expand skill sets


  • This position requires occasional travel within Iowa to study locations for data collection, and travel within the US for other collaborative meetings.


  • This position has occasional supervisory and training responsibility for interns or new staff members related to internal and external data location and access, ESRI licenses, GPS units.


  • Bachelor’s degree in Agriculture, Geographic Information Systems, Geospatial, Environmental Science, Data Science, or related field
  • Experience in R or Python programming languages


  • Master’s degree in Agriculture, Geographic Information Systems, Geospatial, Environmental Science, Data Science, or related field
  • 1-3 years of data science experience
  • Strong understanding of and experience in:
    • Working with geo-spatial data
    • Use of RShiny technology to develop user friendly tools


  • Medical, Dental and Vision insurance
  • Flexible Spending Account available
  • Cellphone and Wellness reimbursement
  • Fitness center
  • 401(k) with generous company match
  • Tuition reimbursement program
  • Dress for your Day Dress Code 
Accessibility: If you need an accommodation as part of the employment process please contact Human Resources 

Equal Opportunity Employer, including disabled and veterans.