Procurement Assistant – Agricultural Inputs

Ovk - Oos Vrystaat Kaap Bedryf Beperk; South Africa; Remote; ZAR 400,000 - 700,000; Full time

Benefits offered by this job

Fully remote work

Home office allowance

Health, dental, and vision insurance

Job summary

Ovk - Oos Vrystaat Kaap Bedryf Beperk is seeking a highly analytical Remote Crop Production Analyst to join its agricultural division. The role involves analyzing large datasets on crop yields, soil, weather, and farming practices from a fully remote setup to deliver actionable insights for optimizing agricultural output and sustainability.

Responsibilities include building predictive models, presenting findings to stakeholders, and collaborating with agronomists and farm managers to align data

Qualifications

• Bachelor’s or Master’s degree in a quantitative field.
• Experience with data analysis, statistical modeling, and visualization.
• Proficient in R, Python, SQL; able to build dashboards.
• Strong knowledge of crop production concepts.
• Excellent written and verbal communication; explain technical concepts simply.
• Self-motivated, autonomous, able to work remotely.

Responsibilities

• Collect, clean, and analyze large agricultural datasets using statistical software and databases.
• Develop predictive models to forecast crop yields and optimize planting strategies.
• Present findings via reports, dashboards, and stakeholder presentations.
• Collaborate with agronomists, researchers, and farm managers to meet data needs.
• Monitor industry trends and apply new analytical methodologies.
• Maintain data integrity and ensure reliable outputs.

Skills

Data analysis

Statistical modeling

Data visualization

Communication

Education

Bachelor’s or Master’s degree in Data Science

Quantitative field background

Tools

R

Python

SQL

Tableau

Power BI

Job description

About the Role

Our client is seeking a highly analytical and detail-oriented Remote Crop Production Analyst to join their agricultural division, operating from a remote work setup. This role is crucial for analyzing vast datasets related to crop yields, soil conditions, weather patterns, and farming practices across various regions. You will leverage advanced statistical and data modeling techniques to provide actionable insights that drive strategic decision-making for optimizing agricultural output and sustainability. This is an excellent opportunity for a data-savvy professional to make a significant impact on agricultural efficiency from anywhere, contributing to better resource management and improved food security.

Key Responsibilities

• Collect, clean, and analyze large agricultural datasets using statistical software and databases.
• Develop predictive models to forecast crop yields, identify potential risks, and optimize planting strategies.
• Interpret complex data and present findings clearly through reports, dashboards, and presentations to stakeholders.
• Collaborate with agronomists, researchers, and farm managers to understand their data needs and provide analytical support.
• Monitor industry trends, research new analytical methodologies, and apply them to enhance crop production insights.
• Maintain data integrity and ensure the accuracy and reliability of all analytical outputs.

Requirements

• Bachelor's or Master's degree in Data Science, Statistics, Agricultural Economics, Agronomy, or a related quantitative field.
• Proven experience in data analysis, statistical modeling, and data visualization, preferably within the agriculture sector.
• Proficiency in analytical tools such as R, Python (with libraries like Pandas, NumPy, SciPy), SQL, and data visualization software (e.g., Tableau, Power BI).
• Strong understanding of agricultural principles, crop science, and factors influencing crop production.
• Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences.
• Self-motivated with the ability to work independently and manage time effectively in a remote setting.

Benefits

• Competitive salary and performance-based incentives.
• Fully remote work arrangement, providing flexibility and work-life balance.
• Comprehensive health, dental, and vision insurance coverage.
• Generous allowance for home office setup and professional development.
• Opportunity to shape the future of data-driven agriculture on a global scale.