Use Python, R, and SQL to analyze agricultural data in a hybrid Agricultural Data Analyst role based in Kimberley, Northern Cape. Turn farming data into insights.

This analyst role supports decisions, efficiency, and sustainable agricultural practices through data. You will collect, clean, analyze, and interpret information from sensors, satellite imagery, and farm software. Statistical analysis, machine learning, visualization, and agricultural knowledge are central to the work.

Key Responsibilities:

- Collect and clean large agricultural datasets from diverse sources
- Perform statistical analysis to identify trends and correlations
- Develop models predicting yields and optimizing resource allocation




- Create dashboards communicating findings to stakeholders
- Recommend improvements to agronomists, farm managers, and executives

Requirements:

- Bachelor's or Master's degree in a quantitative field
- Minimum four years' Data Analyst experience with agricultural data
- Proficiency in Python or R, and SQL
- Experience with Tableau, Power BI, or Matplotlib
- Experience working in a hybrid environment

Apply agricultural data analysis, statistical methods, and visualization skills to improve farming outcomes in Kimberley, Northern Cape.

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📌 Agricultural Data Analyst Kimberley
🏢 Placements24
📍 Kimberley