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  Collect, clean, and organize data from field operations, greenhouse sensors, weather stations, and farm management systems.

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  Analyze crop yields, plant health, and input usage (e.g. water, fertilizer, pesticides) to recommend process improvements.

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  Monitor and model environmental factors (temperature, humidity, soil data) to support irrigation and fertigation schedules.

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  Track pest and disease occurrences to identify trends and support preventive strategies.

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  Analyze sales data, market prices, and customer trends to assist with production planning and pricing.

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  Develop dashboards and reports to present insights to farm managers, agronomists, and other stakeholders.

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  Collaborate with farm teams to implement data collection tools and ensure high data quality.

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  Assist in forecasting yields and supply chain planning using historical and real-time data.

Requirements

Qualifications:

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  Bachelor’s degree in Data Science, Agriculture, Statistics, Environmental Science, or a related field.

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  2+ years of experience in data analysis, preferably in agriculture or horticulture.

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  Strong proficiency in Excel, SQL, and data visualization tools (Power BI, Tableau, etc.).

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  Experience with Python or R is a plus.

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  Familiarity with agricultural technology, farm management software, or IoT sensor data is an advantage.

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  Excellent problem-solving, critical thinking, and communication skills.