- Location: Remote or Hybrid/Onsite – Johnston, IA or Cary, NC
- Work Hours: 8:00 AM–5:00 PM CT
- Contract: As applicable
- Job Overview:
- John Deere is seeking an Agronomy Data Analyst / Precision Agriculture Data Specialist to support the Global Agronomy & AV&V / Marketing & Agronomic R&D team. This role combines agronomy, precision agriculture, geospatial analytics, and data science to analyze field-trial and connected-machinery data and demonstrate the agronomic and financial value of John Deere technologies.
- Key Responsibilities
- Analyze agricultural datasets from field trials, customer farms, university research, planters, sprayers, and combines.
- Extract and process raw data from databases and develop analytical scripts independently using R and/or Databricks.
- Perform statistical and geospatial analysis on soil, yield, equipment-operation, and field-trial datasets.
- Work with agricultural spatial data using ArcGIS Pro and QGIS.
- Analyze machinery data such as planter performance, downforce, singulation, sprayer applications, yield maps, and harvest files.
- Translate complex analytical results into clear business and agronomic insights.
- Create executive-ready one-page PDF summaries and PowerPoint presentations for leadership, dealers, university partners, and growers.
- Collaborate with engineers, agronomists, field trial specialists, dealers, and customers.
- Evaluate data from a grower/dealer perspective and identify practical operational and financial value.
- Must-Haves
- Agronomy + Analytics: Practical agricultural/precision-ag experience with soil, yield, equipment, or field-trial data.
- Coding & Data Analytics: Ability to independently write scripts and perform data manipulation/statistical analysis using R and/or Databricks.
- GIS: Hands-on experience with ArcGIS Pro or QGIS and agricultural spatial datasets.
- Understanding of real-world farming practices and crop production.
- Strong ability to create PowerPoint presentations and one-page executive summaries from complex data.
- Ability to communicate technical findings to non-technical agricultural audiences.
- Required Technical Skills
- R
- Databricks
- ArcGIS Pro
- QGIS
- Nice to Have: John Deere Operations Center, Python, Tableau, Power BI, satellite imagery/remote sensing.
- Education & Experience
- Master’s preferred in Agronomy, Precision Agriculture, Agricultural Engineering, Geospatial Science, Agricultural Data Science, or related field.
- Bachelor’s accepted with strong relevant industry/field experience.
- Typically 2–5+ years of relevant industry, field-trial, precision-ag, or applied agricultural research experience.
- Seed-company, crop-input, ag-equipment, precision-ag, or agricultural technology internships/co-ops may count as relevant experience.
- Target Backgrounds
- Precision agriculture companies
- Seed/crop-input companies
- Agricultural equipment OEMs/dealers
- University agricultural research/extension
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