Agricultural Data Analyst

Placements24; Southampton; On-site; GBP 23,000 - 36,000; Full time

Benefits offered by this job

Competitive salary package

Medical aid and retirement fund

Job summary

Placements24 seeks an Agricultural Data Analyst for a forward-thinking agri-tech client in Randburg. The role focuses on transforming raw agricultural data into actionable insights to optimize farm operations and profitability.

The ideal candidate has 3+ years of data analysis experience, strong stats knowledge, and proficiency in Python or R, SQL, and data visualization tools like Tableau or Power BI.

Qualifications

• Degree in a quantitative field (Data Science, Statistics, CS, Agricultural Science).
• 3+ years of data analysis experience, preferably with agricultural data.
• Proficiency in Python or R for data analysis.
• Experience with SQL databases and data visualization tools (Tableau/Power BI).
• Strong knowledge of statistical modeling and machine learning.

Responsibilities

• Collect, clean, and organize large agricultural datasets from multiple sources.
• Perform statistical analyses to identify trends and correlations in data.
• Develop dashboards and reports to visualize KPIs for clients and internal stakeholders.
• Build predictive models to forecast yields, prices, and risks.
• Communicate findings to technical and non-technical audiences.

Skills

Python

SQL

Data visualization

Statistical modeling

Machine learning

Education

Bachelor's or Master's in Data Science/Statistics/CS/AgriSci

Tools

Tableau

Power BI

Pandas

NumPy

Scikit-learn

Job description

About the Role

Our client, a forward-thinking agricultural technology company located in Randburg, Gauteng, is seeking an analytical and detail-oriented Agricultural Data Analyst. This role is pivotal in transforming raw agricultural data into actionable insights that drive better decision-making for farms and agricultural businesses. The ideal candidate will have a strong background in data analysis, statistics, and a solid understanding of agricultural practices. You will be responsible for collecting, cleaning, processing, and interpreting large datasets related to crop yields, soil conditions, weather patterns, resource management, and market trends. Your work will help optimize farm operations, improve resource efficiency, and enhance overall profitability. We are looking for an individual who can leverage data to uncover trends, predict outcomes, and provide strategic recommendations to support sustainable and efficient agriculture in Gauteng and beyond.

Key Responsibilities

• Collecting, organizing, and managing large volumes of agricultural data from various sources (sensors, farm records, satellite imagery, weather stations).
• Cleaning and pre-processing data to ensure accuracy, completeness, and consistency.
• Performing statistical analysis to identify trends, patterns, and correlations in agricultural datasets.
• Developing and maintaining data dashboards and reports to visualize key performance indicators (KPIs) for clients and internal stakeholders.
• Building predictive models to forecast crop yields, market prices, and potential risks.
• Analyzing data related to soil health, water usage, nutrient application, and pest/disease outbreaks.
• Providing data-driven recommendations to optimize farm management practices, resource allocation, and profitability.
• Collaborating with agronomists, farm managers, and other stakeholders to understand their data needs and deliver relevant insights.
• Staying current with advancements in data science, agricultural technology, and analytical tools.
• Ensuring data privacy and security protocols are maintained.
• Presenting findings and insights to both technical and non-technical audiences.

Requirements

• A Bachelor's or Master's degree in Data Science, Statistics, Agricultural Science, Computer Science, or a related quantitative field.
• Minimum of 3 years of experience in data analysis, with a focus on agricultural data.
• Proficiency in data analysis tools and programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn) or R.
• Experience with database management (SQL) and data visualization tools (e.g., Tableau, Power BI).
• Strong understanding of statistical modeling, machine learning techniques, and their application.
• Familiarity with agricultural concepts, crop science, soil science, and farm operations.
• Excellent analytical, critical thinking, and problem-solving skills.
• Strong communication and presentation skills, with the ability to explain complex data insights clearly.
• Ability to work independently and collaboratively in a team environment.
• Detail-oriented with a high level of accuracy.

Benefits

• Our client offers a competitive salary package, including performance incentives and potential for bonus payouts.
• Comprehensive medical aid and retirement fund contributions are provided.
• Opportunities for professional development, including advanced training in data analytics and agricultural technology, are available.
• The company offers a dynamic and innovative work environment at the forefront of agri-tech.
• This role provides significant impact through data-driven insights.
• Paid annual leave and other standard employment benefits are included.
• Join a team dedicated to revolutionizing agriculture through data.