Remote Agricultural Data Analyst | Data-Driven Farming

Placements24; Musselburgh; Hybrid; GBP 52,000 - 82,000; Full time

Benefits offered by this job

Flexible working hours

Remote work from anywhere

Access to cloud platforms

Job summary

Placements24 is seeking a Remote Agricultural Data Analyst to analyze crop performance, soil conditions, weather patterns, and market trends. You will translate complex data into concise reports and recommendations, collaborating virtually with multiple departments from a remote location.

The role focuses on statistical modeling, data visualization, and driving data-driven improvements across agricultural operations for efficiency and sustainability.

Qualifications

• Bachelor's or Master's degree in Data Science, Statistics, Agricultural Science or related quantitative field.
• Minimum of 4 years' experience in data analysis, with at least 2 years in agriculture.
• Proficiency in Python (Pandas, NumPy), R, SQL.
• Experience with Tableau or Power BI and database management.
• Strong analytical, communication and problem-solving skills.

Responsibilities

• Collect, clean, and organize agricultural data from sensors, imagery, and farm software.
• Develop statistical models to analyze yields, resources, and environmental impacts.
• Identify trends to forecast outcomes and identify improvement areas.
• Create reports, dashboards, and visualizations for technical and non-technical stakeholders.
• Collaborate remotely with agronomists, farm managers, and researchers to define data needs.
• Stay current with advances in data analytics and machine learning in agriculture.

Skills

Data analysis

Statistical modeling

Remote collaboration

Education

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

Tools

Python

R

SQL

Tableau

Power BI

Job description

Placements24 is seeking a Remote Agricultural Data Analyst to analyze crop performance, soil conditions, weather patterns, and market trends. You will translate complex data into concise reports and recommendations, collaborating virtually with multiple departments from a remote location.

The role focuses on statistical modeling, data visualization, and driving data-driven improvements across agricultural operations for efficiency and sustainability.