Geospatial Analytics background in the context of agriculture is important.
· We don't want candidates who are heavy in Geospatial Analytics, but without agricultural background.
· We are also not seeking a pure agronomist, without the analytics background.
· This is a good mixture of agronomy and geospatial analytics.
· We need someone with excellent verbal and written communication skills.
· This person will not just be doing the analytics, but needs to be able to communicate it through PowerPoint slides or PDF summary.
· Needs to be able to put the material together in an easy to understand and professional way.
· They won't be presenting the material themselves, but will need to assemble it together.
· We are seeking a technically skilled individual to support data analytics and reporting for marketing initiatives focused on agronomic value of John Deere’s technologies.
· This individual will work with large agricultural datasets from connected equipment, field trials, remote sensing platforms, and environmental data sources to generate actionable insights for internal stakeholders, dealers, and customers.
· The successful candidate will be responsible for managing analytical projects from start to finish, including data processing, statistical analysis, visualization, interpretation, and communication of results.
· Projects will involve operational datasets (from planters, sprayers, combines, etc.), geospatial datasets such as soil maps and satellite imagery, and agronomic datasets including weather, soil, and scouting data.
· This position requires someone who can quickly understand project objectives, develop an analytical approach, execute the work, and deliver well-supported recommendations and conclusions.
Technologies Used:
· Required: ArcGIS Pro, QGIS, R, Databricks
· Nice to Have: John Deere Operation Center, Python, Tableau; PowerBI
Education:
· A Master's degree candidate is likely what you will want to target.
· A PhD could be qualified, but be wary of candidates without any practical experience.
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