About the Company:
AgriAero Systems develops advanced drone and AI-powered agriculture solutions that help farmers boost yields, optimize irrigation, and reduce resource waste. The company combines cutting-edge aerial imaging with predictive analytics to support sustainable farming decisions.

Location: Des Moines, Iowa, United States
Employment Type: Full-time
Experience Level: Junior to Mid-level (2–4 years)

Role Overview:
As a Precision Agriculture Data Analyst, you will transform raw aerial imagery and sensor data into actionable insights for farmers and agribusiness partners. You will work at the intersection of remote sensing, crop science, and analytics, helping to design dashboards, maps, and predictive models that drive operational decisions in the field.

Key Responsibilities:
• Analyze aerial images and multispectral datasets to detect crop health patterns.
• Build dashboards, GIS layers, and data visualizations for farm clients.
• Collaborate with agronomists to interpret NDVI, moisture, and nutrient indicators.
• Support predictive modeling for yield forecasts and irrigation optimization.
• Assist with data quality assurance and preprocessing workflows.
• Work with software teams to improve data interpretation features in the platform.
• Conduct periodic field visits to validate observed patterns.

Qualifications:
• Bachelor’s degree in Data Science, Agriculture, GIS, or similar field.
• 2–4 years of experience in data analysis or remote sensing work.
• Experience with GIS software (ArcGIS, QGIS).
• Strong understanding of NDVI, vegetation indices, and spectral analysis.
• Proficiency in Python, R, or similar analytics tools.
• Strong communication skills for client-facing data discussions.

What We Offer:
• Opportunity to work with next-generation agri-tech data pipelines.
• Hands-on exposure to real farm environments and live drone deployments.
• Learning support in GIS, remote sensing, and AI-driven crop analytics.
• A collaborative environment combining tech, science, and sustainability.
• Growth opportunities in a rapidly expanding agri-data industry.