Precision Agriculture Data Analyst – Insights & Yields

Placements24; Benoni; Hybrid; ZAR 420,000 - 660,000; Full time

Benefits offered by this job

Competitive salary

Health insurance

Provident fund

Training in data analytics and ag-tech

Opportunities for growth

Job summary

Placements24 is seeking an Agricultural Data Analyst to join our forward-thinking team in Benoni, Gauteng. You will collect, clean, and analyze diverse agricultural datasets, turning insights into actionable recommendations for farm operations and crop yields.

You will use Python or R to model data, build dashboards with Tableau or Power BI, and collaborate with agronomists and farm managers to support sustainable farming practices in the South African context.

Qualifications

• Bachelor's or Master's degree in Data Science, Statistics, Agricultural Science, Computer Science, or related field.
• Proven experience as a Data Analyst with agricultural data preferred.
• Proficiency in data analysis, statistics, and machine learning concepts.
• Strong Python or R skills for data manipulation and analysis.

Responsibilities

• Collect, clean, and organize large agricultural datasets from sensors, software, and weather data.
• Perform statistical analysis to identify trends and correlations in agronomic data.
• Develop and maintain dashboards and reports to visualize KPIs for farm operations.
• Interpret data findings and provide actionable insights to agronomists and farm managers.
• Use R or Python for analysis and modeling; assist in predictive modeling for yields and resource needs.
• Ensure data integrity, accuracy, and security; stay updated on data analytics trends.

Skills

Python

R

Data visualization

Statistical modeling

Analytical thinking

Communication

Education

Data Science / Statistics / Agricultural Science / Computer Science

Tools

Tableau

Power BI

Job description

Placements24 is seeking an Agricultural Data Analyst to join our forward-thinking team in Benoni, Gauteng. You will collect, clean, and analyze diverse agricultural datasets, turning insights into actionable recommendations for farm operations and crop yields.

You will use Python or R to model data, build dashboards with Tableau or Power BI, and collaborate with agronomists and farm managers to support sustainable farming practices in the South African context.