Agricultural Data & Geospatial Analytics
Job Title: Agricultural Data & Geospatial Analytics SpecialistLocation: Cary, NC / Des Moines, IA — Fully Remote also consideredRemote Hours: Approximately 8:00 AM–5:00 PM Central TimeTravel: 1–2 trips/year to Des Moines, IAJob Summary:Seeking a technically strong Data/Geospatial Analytics professional with hands-on agricultural experience to support analytics and reporting for marketing initiatives focused on the agronomic value of John Deere technologies.Key Responsibilities:Analyze large agricultural datasets from connected equipment, field trials, satellite/remote sensing, and environmental sources.Work with operational data from planters, sprayers, combines, etc.Analyze geospatial, soil, weather, scouting, and agronomic datasets.Manage analytics projects end-to-end: data processing, statistical analysis, visualization, interpretation, and recommendations.Create clear, professional PowerPoint/PDF reports that communicate analytical findings to stakeholders.Translate complex analytical results into easy-to-understand business insights.Required Skills:Agricultural data analytics experience – mandatoryGeospatial analytics in an agriculture context – mandatoryArcGIS ProQGISRDatabricksExcellent written and verbal communicationNice to Have:John Deere Operations CenterPythonTableauPower BIEducation/Target Profile:Master’s degree/candidate preferred.PhD candidates can be considered, but practical industry/project experience is important.Ideal candidate = combination of Agronomy + Geospatial Analytics + Data Analytics.Avoid pure geospatial candidates without agricultural experience or pure agronomists without strong analytics skills.Must-HavesAgricultural data analytics experience – mandatoryGeospatial Analytics experience specifically within Agriculture – mandatoryHands-on experience working with agricultural datasets such as:Farm/field dataSoil and weather dataSatellite/remote sensing imageryConnected agricultural equipment dataArcGIS ProQGISRDatabricksStrong data processing, statistical analysis, visualization, and interpretation skillsExcellent written and verbal communicationAbility to create clear, professional PowerPoint/PDF analytical reportsAbility to independently take an analytics project from requirements through recommendationsMaster’s degree/candidate preferred, with practical experience strongly preferredTop screening criteria:Agriculture + Geospatial Analytics + Data Analytics + ArcGIS/QGIS + R + Databricks.