Remote Agricultural Data Analyst - Precision Farming

Placements24; East London; Hybrid; ZAR 900,000 - 1,200,000; Full time

Benefits offered by this job

Remote work setup allowance

Generous leave and flexible hours

Professional development opportunities

Retirement fund contribution

Access to data platforms & cloud infra

Job summary

Placements24 seeks a highly skilled Remote Agricultural Data Analyst specializing in precision farming to optimize global operations. You will collect, process, and analyze sensor, drone, satellite, and machinery data to drive crop yields and resource efficiency.

This fully remote role supports our East London projects when applicable, with a focus on data integrity, reproducible analyses, and actionable recommendations for agronomists and farm managers worldwide.

Qualifications

• Master's degree or PhD in Data Science, Agricultural Engineering, Agronomy, Statistics, Computer Science or related field.
• Minimum of 5 years of experience in data analysis with a focus on agricultural data and precision farming.
• Proven expertise in statistical modeling, machine learning, and predictive analytics.
• Proficiency in Python or R and libraries like Pandas, NumPy, Scikit-learn.
• Experience with data visualization tools such as Tableau, Power BI, QGIS.

Responsibilities

• Collect, clean, and process large datasets from IoT sensors, GPS, drones, and satellites.
• Perform statistical analysis and build predictive models for crop health and weather data.
• Develop algorithms for yield prediction, disease detection, and resource optimization.
• Create dashboards and reports using Tableau, Power BI, or similar tools.
• Collaborate remotely with agronomists and farm managers to translate insights into actions.
• Design and manage A/B testing for precision agriculture strategies.
• Ensure data integrity, security, and reproducibility across analyses.
• Stay updated on advances in agricultural data analytics and AI.

Skills

Data analysis

Remote collaboration

Communication

Problem solving

INDUSTRY domain knowledge

Education

Master's degree or PhD in Data Science or related field

Tools

Python

R

Tableau

Power BI

QGIS

GIS/ Remote Sensing

Job description

About the Role

Our client is seeking a highly skilled and motivated Remote Agricultural Data Analyst with a specialization in precision farming to join their innovative team. This fully remote position offers the opportunity to leverage advanced data analytics and cutting-edge technology to optimize agricultural operations globally. The ideal candidate will possess a deep understanding of agricultural practices, data science methodologies, and precision farming tools. You will be responsible for collecting, processing, and analyzing vast datasets from farm sensors, drones, satellite imagery, and machinery to provide actionable insights that enhance crop yields, resource efficiency, and sustainability. This role is critical for driving data-informed decision-making across our client's diverse agricultural projects worldwide. We are looking for a self-starter with excellent analytical skills and a passion for applying technology to solve complex agricultural challenges. Your remote contributions will be instrumental in shaping the future of intelligent farming, supporting operations regardless of geographic location, including our **East London** projects when applicable.

Key Responsibilities

• Collect, clean, and process large datasets from various agricultural sources, including IoT sensors, GPS equipment, drones, and satellite imagery.
• Perform statistical analysis and build predictive models to identify trends, patterns, and anomalies in crop health, soil conditions, and weather data.
• Develop and implement algorithms for yield prediction, disease detection, and resource optimization (water, fertilizer, pesticides).
• Visualize data through dashboards and reports using tools like Tableau, Power BI, or similar platforms.
• Collaborate with agronomists, farm managers, and R&D teams remotely to translate data insights into practical recommendations.
• Design and manage A/B testing for new precision agriculture strategies and technologies.
• Ensure data integrity, accuracy, and security across all analytical processes.
• Stay abreast of the latest advancements in agricultural data analytics, AI, machine learning, and precision farming techniques.
• Contribute to the development of new data products and analytical tools.
• Provide remote technical support and training to end-users on data interpretation and tool usage.
• Document analytical processes, methodologies, and findings thoroughly.

Requirements

• A Master's degree or PhD in Data Science, Agricultural Engineering, Agronomy, Statistics, Computer Science, or a related quantitative field.
• Minimum of 5 years of experience in data analysis, with a strong focus on agricultural data and precision farming.
• Proven expertise in statistical modeling, machine learning techniques, and predictive analytics.
• Proficiency in programming languages commonly used in data science, such as Python or R, and relevant libraries (e.g., Pandas, NumPy, Scikit-learn).
• Experience with data visualization tools (e.g., Tableau, Power BI, QGIS).
• Familiarity with agricultural sensors, GIS software, and remote sensing technologies.
• Strong understanding of agronomic principles and crop management practices.
• Excellent remote collaboration and communication skills.
• Ability to work independently, manage time effectively, and meet deadlines in a remote environment.
• Strong problem-solving abilities and a proactive approach to challenges.
• Demonstrated ability to interpret complex data and communicate findings clearly to technical and non-technical audiences.

Benefits

• Our client offers a competitive salary and performance-based bonuses commensurate with expertise.
• Comprehensive remote work setup allowance, including hardware and software.
• Generous annual leave and flexible working hours.
• Opportunities for continuous professional development through online courses, certifications, and virtual conferences.
• Contribution to a retirement fund.
• Access to state-of-the-art data analytics platforms and cloud infrastructure.
• A highly collaborative and forward-thinking global team environment.
• Potential for career advancement in data science and agricultural technology.
• Health and wellness benefits tailored for remote employees.