Agronomic Functional Systems / Agronomy Analytics Specialist

We are specifically seeking someone who has worked with agricultural datasets.

·        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