Agricultural Data Analyst

Placements24; Rustenburg; On-site; ZAR 420,000 - 640,000; Full time

Benefits offered by this job

Competitive salary

Health and retirement benefits

Professional development

Job summary

Placements24 in Rustenburg, North West, seeks an Agricultural Data Analyst to translate complex data into actionable insights that improve farming efficiency and profitability.

You will collect, clean, and analyze data from farm sensors, weather stations, and crop monitoring systems, building visualizations and models to guide decision-making for farm managers.

Qualifications

• Bachelor's degree in a quantitative field; Master’s preferred.
• Minimum 3 years of data analysis experience in agricultural/environmental data.
• Proficiency in R, Python, SQL or similar for analysis.
• Experience with data visualization tools such as Tableau or Power BI.
• Strong statistical modeling and machine learning knowledge.
• Familiarity with agricultural practices, crop science, soil science desirable.
• Excellent analytical, problem-solving and critical thinking abilities.
• Strong communication and presentation skills; ability to explain data to diverse audiences.
• Ability to work in a team and independently manage tasks.
• Willingness to relocate to Rustenburg, North West area.

Responsibilities

• Collect, clean, and process large datasets related to crops, soils, weather, irrigation, and pests.
• Develop and implement statistical models to identify trends and correlations in agricultural data.
• Analyze data from precision agriculture tools (GPS, yield monitors, remote sensing) for field performance insights.
• Create clear visualizations, dashboards, and reports for farm managers and stakeholders.
• Monitor KPIs for agricultural operations and provide regular updates.
• Collaborate with agronomists and farm managers to meet data needs.
• Identify opportunities to improve data collection and quality.
• Conduct predictive analyses to forecast yields and assess risks.

Skills

Analytical thinking

Problem-solving

Critical thinking

Communication skills

Teamwork

Education

Bachelor's degree in Data Science, Statistics, Computer Science, Agricultural Science, or related field

Master's degree

Tools

R

Python

SQL

Tableau

Power BI

Job description

About the Role

Our client, a prominent agricultural technology firm, is seeking a detail-oriented Agricultural Data Analyst to join their team in Rustenburg, North West. This role is critical for translating complex agricultural data into actionable insights that drive operational efficiency and strategic decision-making. You will be responsible for collecting, processing, and analyzing data from various sources, including farm sensors, weather stations, crop monitoring systems, and historical records. The ideal candidate will possess strong analytical skills, a solid understanding of agricultural principles, and proficiency in data visualization and statistical modeling. This position plays a key role in optimizing farming practices and enhancing profitability for our client's agricultural partners.

Key Responsibilities

• Collect, clean, and process large datasets related to crop yields, soil conditions, weather patterns, irrigation, and pest infestations.
• Develop and implement statistical models and algorithms to identify trends, patterns, and correlations in agricultural data.
• Analyze data from precision agriculture tools, such as GPS, yield monitors, and remote sensing, to provide insights into field performance.
• Create clear and informative data visualizations, dashboards, and reports for farm managers and stakeholders.
• Monitor key performance indicators (KPIs) for agricultural operations and provide regular updates on progress.
• Collaborate with agronomists and farm managers to understand their data needs and provide analytical support.
• Identify opportunities for improving data collection methods and ensuring data quality and integrity.
• Conduct predictive analysis to forecast crop yields, identify potential risks, and recommend mitigation strategies.
• Stay up-to-date with the latest advancements in agricultural technology and data analytics tools.
• Present findings and recommendations to technical and non-technical audiences.

Requirements

• Bachelor's degree in Data Science, Statistics, Computer Science, Agricultural Science, or a related quantitative field. A Master's degree is preferred.
• Minimum of 3 years of experience in data analysis, with a focus on agricultural or environmental data.
• Proficiency in data analysis software and programming languages such as R, Python, SQL, or similar.
• Experience with data visualization tools like Tableau, Power BI, or similar.
• Strong understanding of statistical modeling and machine learning techniques.
• Familiarity with agricultural practices, crop science, and soil science is highly desirable.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain complex data to diverse audiences.
• Ability to work effectively in a team environment and independently manage assigned tasks.
• Must be based in or willing to relocate to the Rustenburg, North West area.

Benefits

• Competitive salary commensurate with experience and qualifications.
• Comprehensive health and retirement benefits.
• Opportunities for professional development and advanced training in data analytics and agricultural technology.
• Exposure to cutting-edge agricultural data analysis tools and methodologies.
• A collaborative work environment with a focus on innovation.
• Contribute to optimizing agricultural productivity and sustainability in North West province.