Agricultural Data Analyst

Placements24; Benoni; Hybrid; ZAR 420,000 - 660,000; Full time

Benefits offered by this job

Competitive salary

Health insurance

Provident fund

Training in data analytics and ag-tech

Opportunities for growth

Job summary

Placements24 is seeking an Agricultural Data Analyst to join our forward-thinking team in Benoni, Gauteng. You will collect, clean, and analyze diverse agricultural datasets, turning insights into actionable recommendations for farm operations and crop yields.

You will use Python or R to model data, build dashboards with Tableau or Power BI, and collaborate with agronomists and farm managers to support sustainable farming practices in the South African context.

Qualifications

• Bachelor's or Master's degree in Data Science, Statistics, Agricultural Science, Computer Science, or related field.
• Proven experience as a Data Analyst with agricultural data preferred.
• Proficiency in data analysis, statistics, and machine learning concepts.
• Strong Python or R skills for data manipulation and analysis.

Responsibilities

• Collect, clean, and organize large agricultural datasets from sensors, software, and weather data.
• Perform statistical analysis to identify trends and correlations in agronomic data.
• Develop and maintain dashboards and reports to visualize KPIs for farm operations.
• Interpret data findings and provide actionable insights to agronomists and farm managers.
• Use R or Python for analysis and modeling; assist in predictive modeling for yields and resource needs.
• Ensure data integrity, accuracy, and security; stay updated on data analytics trends.

Skills

Python

R

Data visualization

Statistical modeling

Analytical thinking

Communication

Education

Data Science / Statistics / Agricultural Science / Computer Science

Tools

Tableau

Power BI

Job description

About the Role

Our client, a forward-thinking agricultural technology company with operations in Benoni , Gauteng, is seeking a skilled Agricultural Data Analyst . This role is vital in harnessing the power of agricultural data to drive informed decision-making, optimize farm operations, and enhance productivity. The ideal candidate will have a strong analytical mindset, proficiency in data interpretation, and a solid understanding of agricultural principles. You will be responsible for collecting, processing, analyzing, and visualizing diverse agricultural datasets, including those related to crop yields, soil conditions, weather patterns, and resource management. This is an exciting opportunity to contribute to the advancement of precision agriculture and support sustainable farming practices within the industry. We foster a collaborative environment that encourages innovation and professional growth for our team members in the Gauteng region.

Key Responsibilities

• Collect, clean, and organize large agricultural datasets from various sources (e.g., sensors, farm management software, weather stations).
• Perform statistical analysis to identify trends, patterns, and correlations in agricultural data.
• Develop and maintain dashboards and reports to visualize key performance indicators (KPIs) for farm operations.
• Interpret data findings and provide actionable insights and recommendations to agronomists, farm managers, and other stakeholders.
• Utilize statistical software and programming languages (e.g., R, Python) for data analysis and modeling.
• Assist in the development and validation of predictive models for crop yields, disease outbreaks, and resource needs.
• Ensure data integrity, accuracy, and security.
• Stay abreast of emerging trends and technologies in agricultural data analytics.
• Collaborate with the IT and R&D teams to improve data collection and management systems.

Requirements

• A Bachelor's or Master's degree in Data Science, Statistics, Agricultural Science, Computer Science, or a related quantitative field.
• Proven experience as a Data Analyst, with a focus on agricultural data preferred.
• Proficiency in data analysis tools and techniques, including statistical modeling and machine learning concepts.
• Strong command of programming languages such as Python or R for data manipulation and analysis.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Familiarity with agricultural terminology, concepts, and farming practices.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication skills, with the ability to present complex data insights clearly.
• Ability to work independently and as part of a team.

Benefits

• Competitive salary package.
• Potential for annual bonuses based on performance.
• Comprehensive health insurance plan.
• Opportunities for training in advanced data analytics and agricultural technology.
• Contribution to a provident fund.
• A stimulating work environment with exposure to cutting-edge agricultural innovation.