Remote Agricultural Data Analyst

Placements24; Mossel Bay; Hybrid; ZAR 550,000 - 850,000; Full time

Benefits offered by this job

Fully remote

Work-life balance

Professional development

Job summary

Placements24 is seeking a skilled Remote Agricultural Data Analyst to join our clients team. You will collect, process, and interpret large agricultural datasets to drive operational efficiency, crop yield improvements, and strategic decision support.

You will develop statistical models, build visualizations, and communicate insights to stakeholders across regions, including Mossel Bay. A strong foundation in data science and agriculture is essential for success in this remote role.

Qualifications

• Bachelor’s or Master’s degree in a quantitative field (Data Science, Statistics, Agricultural Science).
• 3+ years of data analysis experience in agriculture or related fields.
• Proficiency in data analysis software and programming languages (R, Python, SQL).
• Experience with data visualization tools (Tableau, Power BI).

Responsibilities

• Collect, clean, and organize agricultural data from various sources.
• Develop statistical models to analyze crop performance and soil health.
• Create data visualizations, dashboards and reports for stakeholders.
• Identify trends and anomalies to provide actionable insights and recommendations.
• Collaborate with agronomists and farm managers to translate data needs into analytics.
• Stay updated with advances in agricultural tech and data tools.

Skills

Data Analysis

Python

R

SQL

Tableau/Power BI

Education

Bachelor's or Master's in Data Science/Statistics/Agricultural Science

Tools

R

Python

SQL

Tableau

Power BI

Job description

About the Role

Our client is looking for a skilled and analytical Remote Agricultural Data Analyst to join their team, supporting operations that span across regions including Mossel Bay . This position is fully remote, allowing you to work from anywhere. You will be responsible for collecting, processing, and interpreting vast amounts of agricultural data to provide actionable insights that drive operational efficiency, improve crop yields, and support strategic decision-making. This role is crucial for leveraging technology to enhance modern farming practices and requires a strong understanding of data analysis techniques applied to the agricultural sector.

Key Responsibilities

• Collect, clean, and organize agricultural data from various sources, including sensor networks, farm records, and market reports.
• Develop and implement statistical models and algorithms to analyze crop performance, soil health, and environmental factors.
• Create compelling data visualizations, dashboards, and reports to communicate findings to stakeholders.
• Identify trends, patterns, and anomalies in agricultural data to provide actionable insights and recommendations.
• Collaborate with agronomists and farm managers to understand data needs and translate them into analytical solutions.
• Stay updated with the latest advancements in agricultural technology and data analytics tools.

Requirements

• Bachelor's or Master's degree in Data Science, Statistics, Agricultural Science, or a related quantitative field.
• 3+ years of experience in data analysis, with a focus on the agricultural industry.
• Proficiency in data analysis software and programming languages such as R, Python, or SQL.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Strong understanding of agricultural concepts, farming practices, and relevant data types.
• Excellent analytical, problem-solving, and communication skills, with the ability to explain complex data to non-technical audiences.

Benefits

• Competitive salary commensurate with experience.
• Fully remote work arrangement, offering flexibility and work-life balance.
• Opportunity to work with cutting-edge agricultural technology and data platforms.
• Contribution to sustainable agriculture through data-driven insights.
• Supportive online work environment and access to professional development resources.