Remote Agricultural Data Analyst

Placements24; Southampton; Hybrid; GBP 50,000 - 80,000; Full time

Job summary

Placements24 seeks a skilled Remote Agricultural Data Analyst to join a forward-thinking team. You will analyze diverse agricultural data—from soil and weather to crop performance and market trends—and develop predictive models and actionable recommendations.

Ideal candidates have a strong analytics background, a passion for agriculture, and experience with Python or R, plus SQL/NoSQL and data visualization tools.

Qualifications

• Master's degree or PhD in Data Science, Statistics, Agricultural Science with analytics focus.
• 5+ years as a Data Analyst, with substantial experience in agriculture.
• Proficiency in Python or R and data analysis libraries (Pandas, NumPy, Scikit-learn).
• Experience with SQL, NoSQL and data warehousing concepts.
• Expertise in statistical modeling, ML techniques, and predictive analytics.
• Ability to communicate complex data insights to non-technical audiences.
• Experience with data visualization tools (Tableau, Power BI) is highly advantageous.

Responsibilities

• Collect, clean, and process large agricultural datasets from various sources.
• Develop and implement statistical models and machine learning algorithms for crop yields, resource usage, and environmental factors.
• Identify trends, patterns, and correlations to inform strategic decisions.
• Create insightful data visualizations, dashboards, and reports for stakeholders.
• Collaborate with agronomists, researchers, and farm managers to translate data findings into practical applications.
• Monitor the performance of predictive models and refine them as necessary.
• Ensure data integrity and security protocols throughout the analysis process.

Skills

Analytical thinking

Communication

Agriculture interest

Education

Masters/PhD in Data Science or related field

Tools

Python

R

SQL

NoSQL

Tableau

Power BI

Pandas

NumPy

Scikit-learn

Job description

About the Role

Our client is seeking a skilled Remote Agricultural Data Analyst to join their innovative team. This fully remote position empowers you to analyze vast amounts of agricultural data from anywhere, providing critical insights to enhance farm productivity, sustainability, and decision-making. You will work with diverse datasets, including soil conditions, weather patterns, crop performance, and market trends, to develop predictive models and actionable recommendations. The ideal candidate has a strong analytical background, a passion for agriculture, and expertise in data science tools and methodologies, driving data-driven advancements in the agricultural sector.

Key Responsibilities

• Collect, clean, and process large agricultural datasets from various sources.
• Develop and implement statistical models and machine learning algorithms to analyze crop yields, resource usage, and environmental factors.
• Identify trends, patterns, and correlations within agricultural data to inform strategic decision-making.
• Create insightful data visualizations, dashboards, and reports for stakeholders.
• Collaborate with agronomists, researchers, and farm managers to translate data findings into practical applications.
• Monitor the performance of predictive models and refine them as necessary.
• Ensure data integrity and security protocols are maintained throughout the analysis process.

Requirements

• Master's degree or PhD in Data Science, Statistics, Agricultural Science with a focus on analytics, or a related quantitative field.
• Proven experience (5+ years) as a Data Analyst, with a significant portion focused on the agricultural industry .
• Strong proficiency in programming languages such as Python or R and relevant data analysis libraries (e.g., Pandas, NumPy, Scikit-learn).
• Experience with database management systems (SQL, NoSQL) and data warehousing concepts.
• Expertise in statistical modeling, machine learning techniques, and predictive analytics.
• Ability to communicate complex data insights clearly to non-technical audiences.
• Experience with data visualization tools (e.g., Tableau, Power BI) is highly advantageous.

Benefits

• Competitive salary package commensurate with experience and skills.
• Full remote work flexibility, allowing you to work from your preferred location.
• Opportunity to shape the future of agriculture through data-driven innovation.
• Work on challenging and impactful projects with a forward-thinking company.
• Continuous learning and professional development opportunities in data science and agriculture.