Agricultural Data Analyst

About the Role

Our client is looking for a detail-oriented and analytical Agricultural Data Analyst to join their innovative agricultural technology team in Liverpool . This role is crucial for extracting, analyzing, and interpreting vast amounts of data from farming operations to provide actionable insights for improving efficiency, yield, and sustainability. You will work closely with agronomists, farm managers, and software developers to develop data-driven solutions that help shape the future of modern agriculture. This position offers a challenging and rewarding opportunity to leverage your analytical skills in a vital industry.

Key Responsibilities

• Collect, clean, and organize agricultural data from various sources, including sensors, machinery, and management systems.
• Perform statistical analysis and modeling to identify trends, patterns, and correlations in agricultural data.
• Develop dashboards and reports to visualize key performance indicators and insights for stakeholders.
• Collaborate with the R&D team to design and interpret experiments related to crop performance and farm practices.
• Identify opportunities for process improvements and efficiency gains through data analysis.
• Ensure data integrity, accuracy, and security across all analytical processes.

Requirements

• Bachelor's or Master's degree in Data Science, Statistics, Agricultural Science, Computer Science, or a related quantitative field.
• Proven experience as a Data Analyst, preferably within the agriculture or food industry.
• Strong proficiency in data manipulation and analysis tools such as Python (Pandas, NumPy), R, or SQL.
• Experience with data visualization tools like Tableau, Power BI, or similar platforms.
• Understanding of agricultural principles, farming practices, and crop production is highly desirable.
• Excellent analytical and problem-solving skills, with strong attention to detail.

Benefits

• Competitive salary and performance-related bonuses.
• Comprehensive health, dental, and vision insurance.
• Pension scheme with employer contributions.
• Opportunities for professional development and training in data analytics and agricultural technology.
• Hybrid working model offering flexibility.
• Work at the forefront of agricultural technology in Liverpool .