Agricultural Data Analyst

Placements24; United States; On-site; USD 27,000 - 54,000; Full time

Benefits offered by this job

Competitive salary package

Medical aid

Retirement fund contributions

Professional development

Advanced training in data analytics

Dynamic work environment

Paid annual leave

Job summary

Placements24 in Randburg, Gauteng, is seeking an Agricultural Data Analyst who can transform large farming datasets into clear, actionable insights for farms and agribusinesses. You will collect, clean, and interpret data on yields, soils, weather, and resources to support smarter decisions.

The role emphasizes statistical analysis, predictive modeling, and creating dashboards for clients and internal teams.

Qualifications

• Bachelor's or master's degree in a quantitative field.
• Minimum 3 years in data analysis with agricultural focus.
• Proficiency in Python or R.
• Experience with SQL and data visualization tools.
• Understanding of agricultural concepts.

Responsibilities

• Collect, clean, and manage large agricultural datasets.
• Perform statistical analysis to identify trends.
• Develop dashboards with KPI visuals.
• Build predictive models for yields and market prices.
• Analyze soil, water, nutrients, pests data.
• Provide data-driven recommendations.
• Collaborate with agronomists and farm managers.
• Stay current with data science advances in agri-tech.
• Ensure data privacy and security.

Skills

Python

R

Machine Learning

Statistics

Data analysis

Agriculture knowledge

Education

Bachelor's or Master's in a quantitative field

Tools

SQL

Tableau

Power BI

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.