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Title
Text copied to clipboard!Agricultural Analyst
Description
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We are looking for an Agricultural Analyst who can thoroughly analyze and evaluate data related to agricultural production and provide valuable insights to support farmers and agricultural businesses. The role involves collecting, processing, and interpreting data from various agricultural processes and outcomes to help improve productivity, optimize resource use, and support sustainable agriculture. This position requires strong analytical thinking, knowledge of agricultural sciences, and proficiency in using modern data analysis tools. The Agricultural Analyst works closely with farmers, scientists, and other professionals to ensure data accuracy and relevance and to support decision-making in the agricultural sector. Additionally, the ability to present complex data in an understandable manner and to prepare reports and recommendations that help enhance agricultural efficiency and sustainability is essential. If you are interested in the intersection of agriculture and data analysis and want to contribute to the development of agriculture, we encourage you to apply.
Responsibilities
Text copied to clipboard!- Collect and analyze agricultural production data.
- Evaluate the efficiency of agricultural processes.
- Prepare reports and recommendations for farmers.
- Collaborate with scientists and farmers to ensure data accuracy.
- Use modern data analysis tools and methods.
- Monitor trends and developments in the agricultural sector.
- Support decision-making in agricultural enterprises.
- Ensure data quality and reliability.
- Participate in research and development projects.
- Present complex data in an understandable way.
Requirements
Text copied to clipboard!- Higher education in agricultural science or data analysis.
- Strong analytical and problem-solving skills.
- Experience with data analysis and statistical methods.
- Good knowledge of agricultural production processes.
- Ability to work both independently and in a team.
- Good communication and reporting skills.
- Proficiency in data analysis software (e.g., R, Python, Excel).
- Attention to detail and accuracy.
- Willingness for continuous learning.
- Proficiency in Estonian and English at a communicative level.
Potential interview questions
Text copied to clipboard!- What is your previous experience in data analysis within the agricultural sector?
- Which data analysis tools have you used?
- How do you ensure data accuracy and reliability?
- Describe a situation where your analysis helped improve an agricultural process.
- How do you approach teamwork and collaboration with other professionals?
- What is your knowledge of sustainable agriculture?
- How do you present complex data understandably?
- Do you have experience participating in research and development projects?
- How do you keep up to date with developments in the agricultural sector?
- What are your strengths and areas for development in this field?
