Remote Agricultural Data Analyst
- sunderland, tyne and wear, SR1 1AA, United Kingdom
- Permanent·Remote
- Full time
- £40,000 - £40,000 Per Annum
Job Description
About the Role
Our client is seeking a skilled Remote Agricultural Data Analyst to join their innovative team, supporting agricultural operations across the UK. In this fully remote position, you will be responsible for collecting, cleaning, and analyzing vast datasets related to crop performance, soil conditions, weather patterns, and market trends. Your insights will be crucial in developing data-driven strategies to enhance farm productivity, optimize resource allocation, and support sustainable practices. This role offers the flexibility of working from anywhere in the UK, contributing vital analytical expertise to a company at the forefront of agricultural technology and data science.
Key Responsibilities
- Collect, clean, and process agricultural data from diverse sources, including sensors, field reports, and external databases.
- Develop and maintain databases and data warehousing solutions for agricultural information.
- Perform statistical analysis and build predictive models to forecast crop yields, identify risks, and optimize farm management decisions.
- Create clear and concise reports, visualizations, and dashboards to communicate findings to stakeholders.
- Collaborate with farm managers and technical teams to understand data needs and translate them into analytical projects.
- Stay abreast of new data analysis techniques and agricultural technologies to continuously improve methodologies.
Requirements
- Proven experience in data analysis, preferably within the agricultural or a related scientific field.
- Strong proficiency in data manipulation and statistical analysis tools (e.g., R, Python, SQL).
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Excellent analytical and problem-solving skills with meticulous attention to detail.
- A degree in Data Science, Statistics, Agriculture, Environmental Science, or a related quantitative field.
Benefits
- Competitive remote salary with potential for performance-based incentives.
- Flexible working hours and the ability to work from home anywhere in the UK.
- Opportunity to work with cutting-edge agricultural data and technologies.
- Comprehensive benefits package, including health and pension contributions.
- Contribute to impactful projects driving the future of sustainable agriculture remotely.


