Agricultural Data Analyst

Placements24; Noord-Kaap; Hybrid; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Health benefits

Retirement plan

Professional development

Flexible hours

Hybrid work model

Job summary

Placements24 is seeking an Agricultural Data Analyst to join our client in Kimberley, Northern Cape. You will collect, clean, analyze, and interpret agricultural data to support decision-making, improve efficiency, and promote sustainable farming practices.

The role emphasizes hybrid collaboration and independent work. You will work with Python/R, SQL, and visualization tools to uncover trends, build models, and deliver insights for better crop yields and resource management.

Qualifications

• Bachelor's or Master's in a quantitative field.
• Minimum 4 years as a Data Analyst in agricultural/biological data.
• Proficiency in Python or R and SQL.
• Experience with Tableau/Power BI for dashboards.
• Strong analytical and communication skills.

Responsibilities

• Collect, clean, and process large datasets from agricultural sources (sensors, imagery, farm software).
• Perform statistical analysis to identify trends and correlations in agricultural data.
• Develop data models and algorithms to predict yields and optimize resources.
• Create data visualizations and dashboards to communicate findings to stakeholders.
• Provide actionable insights to agronomists, farm managers, and executives.
• Collaborate with IT to enhance data infrastructure and analytical tools.

Skills

Python

R

SQL

Tableau

Power BI

Matplotlib

Statistics concepts

Communication skills

Problem solving

Education

Bachelor's degree in Data Science

Master's degree in Data Science

Bachelor's degree in Agricultural Science

Tools

Tableau

Power BI

Matplotlib

Job description

About the Role

Our client, an innovative agricultural technology company, is looking for a sharp and analytical Agricultural Data Analyst to join their team in Kimberley, Northern Cape . This role is crucial for extracting valuable insights from the vast amounts of data generated by modern farming operations. You will be responsible for collecting, cleaning, analyzing, and interpreting agricultural data to support decision-making, improve efficiency, and promote sustainable practices. The ideal candidate will possess a strong background in data analysis, statistics, and a solid understanding of agricultural principles. You will work with tools like advanced analytics software, databases, and visualization platforms to uncover trends and patterns that can optimize crop yields, resource management, and overall farm productivity. This is an exciting opportunity to leverage data science in the agricultural sector and make a tangible impact on farming in Kimberley, Northern Cape . The hybrid nature of this role allows for focused analysis and collaborative sessions.

Key Responsibilities

• Collect, clean, and process large datasets from various agricultural sources (e.g., sensors, satellite imagery, farm management software).
• Perform statistical analysis to identify trends, patterns, and correlations in agricultural data.
• Develop and maintain data models and algorithms to predict crop yields, optimize resource allocation, and forecast outcomes.
• Create compelling data visualizations and dashboards to communicate findings to stakeholders.
• Provide actionable insights and recommendations to agronomists, farm managers, and executives.
• Identify opportunities to improve data collection methods and data quality.
• Collaborate with IT and software development teams to enhance data infrastructure and analytical tools.
• Stay updated on the latest advancements in data science, machine learning, and agricultural technology.
• Ensure data integrity, security, and compliance with relevant regulations.
• Contribute to the development of data-driven strategies for enhancing farm sustainability and profitability in Northern Cape .

Requirements

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Agricultural Science, or a related quantitative field.
• Minimum of 4 years of experience as a Data Analyst, with a focus on agricultural or biological data.
• Proficiency in data analysis languages such as Python or R, and SQL.
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
• Strong understanding of statistical methods and machine learning techniques.
• Knowledge of agricultural practices, crop science, or soil science is highly advantageous.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain complex data insights clearly.
• Experience working in a hybrid work environment.
• Ability to work independently and as part of a collaborative team in Kimberley .

Benefits

Our client offers a competitive salary package, comprehensive health and wellness benefits, and a retirement savings plan. Employees have access to ongoing professional development opportunities, including advanced training courses and certifications in data science. We provide a dynamic and intellectually stimulating work environment that encourages innovation and collaboration. Generous paid time off and flexible working hours are part of our commitment to work-life balance. This hybrid role allows for flexibility while ensuring essential team collaboration in Kimberley .