Remote Agricultural Data Analyst - Precision Farming

Placements24; Windsor Park (TN); Remote; USD 90,000 - 150,000; Full time

Benefits offered by this job

Competitive salary

Remote work setup allowance

Generous annual leave

Professional development opportunities

Retirement fund

Access to data analytics platforms and

Global collaborative team

Career advancement

Health and wellness benefits

Job summary

Placements24 is seeking a highly skilled Remote Agricultural Data Analyst specializing in precision farming. You will collect, process, and analyze datasets from farm sensors, drones, and satellite imagery to deliver actionable insights that optimize crop yields and resource use.

You'll develop predictive models, build dashboards in Tableau or Power BI, and collaborate with agronomists and R&D teams around the world. A strong data science foundation and remote-work proficiency are essential.

Qualifications

• 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.

Responsibilities

• Collect, clean, and process large datasets from 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.

Skills

Data analysis

Machine learning

Statistical modeling

Python

R

Data visualization

Education

Master's or PhD in a quantitative field

Tools

Pandas

NumPy

Scikit-learn

Tableau

Power BI

QGIS

GIS software

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.