Collect, clean, and organize data from field operations, greenhouse sensors, weather stations, and farm management systems.
Analyze crop yields, plant health, and input usage (e.g. water, fertilizer, pesticides) to recommend process improvements.
Monitor and model environmental factors (temperature, humidity, soil data) to support irrigation and fertigation schedules.
Track pest and disease occurrences to identify trends and support preventive strategies.
Analyze sales data, market prices, and customer trends to assist with production planning and pricing.
Develop dashboards and reports to present insights to farm managers, agronomists, and other stakeholders.
Collaborate with farm teams to implement data collection tools and ensure high data quality.
Assist in forecasting yields and supply chain planning using historical and real-time data.
Bachelor’s degree in Data Science, Agriculture, Statistics, Environmental Science, or a related field.
2+ years of experience in data analysis, preferably in agriculture or horticulture.
Strong proficiency in Excel, SQL, and data visualization tools (Power BI, Tableau, etc.).
Experience with Python or R is a plus.
Familiarity with agricultural technology, farm management software, or IoT sensor data is an advantage.
Excellent problem-solving, critical thinking, and communication skills.