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AGRICULTURAL RESEARCH ANALYST – AGRICULTURAL COMMODOTIES – STELLENBOSCH
Job summary
A leading agricultural recruitment firm is seeking an Agricultural Research Analyst to collect, analyze, and interpret agricultural data for strategic decision-making. The role involves crop estimation, data integration, and stakeholder collaboration. Ideal candidates possess a graduate degree in Agronomy and have 5-7 years of relevant experience. Proficiency in statistical tools and a valid driver’s license are required. This position is based in Stellenbosch, Western Cape.
Qualifications
- 5–7 years in agricultural data analysis, forecasting, and modeling.
- Valid driver’s license and willingness to travel to field sites and events.
Responsibilities
- Assist in accurate crop yield forecasting across regions and seasons.
- Deliver insights on regional agricultural performance and climate-related risks.
- Assist in the development of predictive models to support trade decisions.
- Facilitate productive collaboration between stakeholders.
- Provide timely, evidence-based findings to support decisions.
Skills
Education
Tools
POSITION OVERVIEW
The Agricultural Research Analyst is responsible for collecting, analyzing, and interpreting agricultural data to support strategic decision-making and innovation in crop estimations, forecasts, and impact of climate on crop production. This role contributes to the development of evidence-based recommendations that improve crop prediction and availability for trading decisions
- Crop Estimation and Forecasting
Assist in accurate crop yield forecasting across regions and seasons. - Regional Analysis and Climate Impact
Deliver insights on regional agricultural performance and climate‑related risks and interventions. - Data Integration and Predictive Modeling
Assist in the development of predictive models to support trade decisions. - Stakeholder Engagement and Collaboration
Facilitate productive collaboration between stakeholders to support effective decisions. - Reporting and Strategic Recommendations
Provide timely, evidence‑based findings to support operational and strategic decisions.
- Collect and validate data from field reports, satellite imagery, and weather stations.
- Develop and maintain forecasting models using historical and real‑time data.
- Compare forecast outputs with actual harvest data to refine model accuracy.
- Report forecast results to internal stakeholders for planning and trade decisions.
- Analyze regional differences in soil, rainfall, and temperature patterns.
- Assess the impact of climate variability on crop cycles and yields.
- Create regional profiles highlighting strengths, risks, and opportunities.
- Collaborate with climate scientists and agronomists to integrate findings.
- Integrate multiple data sources (e.g., market trends, weather forecasts, planting schedules).
- Use statistical and machine learning tools to build predictive models.
- Test and validate models for reliability and scalability.
- Present model outputs in user‑friendly formats for decision‑makers.
- Liaise with traders, agronomists, and data providers to gather insights.
- Participate in cross‑functional meetings to align research with business needs.
- Share findings through presentations, dashboards, and technical reports.
- Prepare daily and weekly reports on crop forecasts and regional trends.
- Highlight risks and opportunities for procurement and trade teams.
- Contribute to strategic planning sessions with data‑driven insights.
- Education
Graduate level degree (BSc/BA/MSc) in Agronomy, Meteorology, or related fields. - Teaching Qualification
Bachelor’s degree in Agricultural Economics, Data Science, or equivalent. - Software Proficiency
MS Excel, GIS software, statistical and predictive modeling tools (R, Python, SPSS). - Experience
5–7 years in agricultural data analysis, forecasting, and modeling. - Other (e.g., Driver’s licence)
Valid driver’s licence and willingness to travel to field sites and events.
EMAIL CV IN WORD FORMAT: cvs@agricruitment.co.za
Please consider your application as unsuccessful if you have not been contacted within 2 weeks.
POPIA: by applying for the position, the applicant gives permission to the company to scrutinise and process personal information shared.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.