Agricultural Data Analyst: Transform Farm Data into Insights

Placements24; United States; Sur place; USD 27 000 - 54 000; Plein temps

Avantages offerts par ce poste

Competitive salary package

Medical aid

Retirement fund contributions

Professional development

Advanced training in data analytics

Dynamic work environment

Paid annual leave

Résumé du poste

Placements24 in Randburg, Gauteng, is seeking an Agricultural Data Analyst who can transform large farming datasets into clear, actionable insights for farms and agribusinesses. You will collect, clean, and interpret data on yields, soils, weather, and resources to support smarter decisions.

The role emphasizes statistical analysis, predictive modeling, and creating dashboards for clients and internal teams.

Qualifications

• Bachelor's or master's degree in a quantitative field.
• Minimum 3 years in data analysis with agricultural focus.
• Proficiency in Python or R.
• Experience with SQL and data visualization tools.
• Understanding of agricultural concepts.

Responsabilités

• Collect, clean, and manage large agricultural datasets.
• Perform statistical analysis to identify trends.
• Develop dashboards with KPI visuals.
• Build predictive models for yields and market prices.
• Analyze soil, water, nutrients, pests data.
• Provide data-driven recommendations.
• Collaborate with agronomists and farm managers.
• Stay current with data science advances in agri-tech.
• Ensure data privacy and security.

Connaissances

Python

R

Machine Learning

Statistics

Data analysis

Agriculture knowledge

Formation

Bachelor's or Master's in a quantitative field

Outils

SQL

Tableau

Power BI

Description du poste

Placements24 in Randburg, Gauteng, is seeking an Agricultural Data Analyst who can transform large farming datasets into clear, actionable insights for farms and agribusinesses. You will collect, clean, and interpret data on yields, soils, weather, and resources to support smarter decisions.

The role emphasizes statistical analysis, predictive modeling, and creating dashboards for clients and internal teams.