Remote Agricultural Systems Analyst

Placements24; LegKraal Gate; Hybrid; ZAR 900,000 - 1,800,000; Full time

Benefits offered by this job

Competitive salary

Remote work

Health, dental, and vision insurance

Professional development budget

Contribute to agri-tech advances

Job summary

Placements24 is seeking an Agricultural Systems Analyst to join a fully remote team near Mahikeng. You will analyze large agricultural datasets, build models to simulate system performance, and translate insights into actionable recommendations for a dispersed client base.

The ideal candidate has 5+ years in agricultural data analytics, strong programming in Python/R, and deep knowledge of crop science and farm management.

Qualifications

• Master's or PhD in a quantitative field as listed.
• Minimum of 5 years of experience in systems analysis, data analytics, or modeling within agriculture.
• Expertise in statistical analysis, simulation modeling, and data visualization tools.
• Strong programming skills (Python, R) for data manipulation and analysis.
• Excellent understanding of agricultural systems, crop science, and farm management.
• Strong communication and remote-presentation skills.

Responsibilities

• Collect, clean, and analyze large datasets related to agricultural production and farm operations.
• Develop and maintain mathematical and statistical models to simulate and predict system performance.
• Identify KPIs for agricultural operations and monitor progress against metrics.
• Provide data-driven recommendations to optimize crop yields and resource allocation.
• Collaborate virtually with farm managers, agronomists, and tech providers to implement improvements.
• Prepare reports and visualizations to communicate findings to diverse stakeholders.

Skills

Analytical mindset

Data analytics

Statistical analysis

Simulation modeling

Data visualization

Education

Master's or PhD in Agricultural Engineering / Data Science / OR / Statistics

Tools

Python

R

Job description

About the Role

Our client is seeking a highly analytical Agricultural Systems Analyst to join their remote team, focusing on optimizing agricultural operations near Mahikeng. This role is central to improving the efficiency, productivity, and sustainability of farming practices through the analysis of complex data sets. You will work with farm managers and stakeholders to identify bottlenecks, model system performance, and recommend data-driven improvements. The ideal candidate will possess strong quantitative skills, a deep understanding of agricultural processes, and the ability to translate intricate data into actionable strategies for a dispersed client base, all from a remote work environment.

Key Responsibilities

• Collect, clean, and analyze large datasets related to agricultural production, resource management, and farm operations.
• Develop and maintain mathematical and statistical models to simulate and predict system performance.
• Identify key performance indicators (KPIs) for agricultural operations and monitor progress against these metrics.
• Provide data-driven recommendations to optimize crop yields, resource allocation, and operational efficiency.
• Collaborate virtually with farm managers, agronomists, and technology providers to implement system improvements.
• Prepare comprehensive reports and visualizations to communicate findings and recommendations to diverse stakeholders.

Requirements

• Master's or Ph.D. in Agricultural Engineering, Data Science, Operations Research, Statistics, or a related quantitative field.
• Minimum of 5 years of experience in systems analysis, data analytics, or modeling within the agricultural sector.
• Proven expertise in statistical analysis, simulation modeling, and data visualization tools.
• Strong programming skills (e.g., Python, R) for data manipulation and analysis.
• Excellent understanding of agricultural systems, crop science, and farm management principles.
• Superior communication and presentation skills, with the ability to convey complex analytical insights effectively in a remote setting.

Benefits

• Competitive salary and performance-based bonuses.
• Flexible work hours and a fully remote working arrangement.
• Comprehensive health, dental, and vision insurance.
• Professional development budget for courses and conferences.
• Opportunity to contribute to the advancement of agricultural technology and data-driven farming.