Farm Data Analysis Expert

TH Farm Thoả thuận Hà Nội Thời hạn: 2024-03-14
Mức lương Thoả thuận
Địa điểm Hà Nội
Cấp bậc Nhân viên
Hình thức làm việc Toàn thời gian
Lĩnh vực Khác

Farm DA expert is is responsible for collecting, cleaning, and analyzing farm and related agriculture data to derive actionable insights for decision-making. The role involves creating visualizations to communicate findings to non-technical stakeholders. Continuous learning is essential to stay updated on data analysis techniques and contribute to process improvements.
1. Data Collection and Integration:
• Gather and integrate data from various sources, including sensors, satellites, and farm equipment.
• Collaborate with cross-functional teams to ensure seamless data flow and integration.
2. Data Cleaning and Pre-processing:
• Clean and preprocess raw data to ensure accuracy and reliability.
• Address missing or incomplete data through appropriate techniques.
3. Statistical Analysis and Modeling:
• Conduct statistical analyses to identify patterns, trends, and correlations in agricultural data.
• Develop predictive models to optimize crop yields, resource allocation, and farm efficiency.
4. Data Visualization:
• Create visualizations and dashboards to communicate insights effectively.
• Present findings to non-technical stakeholders in a clear and understandable manner.
5. Collaboration with Agricultural Experts:
• Work closely with agronomists, farmers, and other domain experts to understand agricultural challenges and goals.
• Translate domain knowledge into actionable data strategies.
6. Continuous Improvement:
• Stay updated on the latest advancements in data analysis techniques and tools.
• Propose and implement improvements to existing data processes.

Thưởng, chăm sóc sức khỏe, hoạt động nhóm, cơ hội du lịch,nghỉ phép có lương,

• Bachelor's or Master's degree in Data Science, Statistics, Agriculture, or a related field;
• 5+ years Data Analysis
• Agro or F&B business operation experience would be a plus
• Proven experience as a Data Analyst in the agriculture domain.
• Proficient in programming languages such as Python or R.
• Strong data querying skill
• Strong statistical analysis skills and experience with relevant tools (e.g., R, SAS, or Python libraries).
• Proficient in dashboard design and data visualization tools (i.e. Power BI, Tableau, Data Studio, Qlik, etc)
• Familiarity with agricultural data sources, including precision farming technologies.
• Excellent communication skills and the ability to convey technical concepts to a non-technical audience
• Strong technical consultancy skills

Hà Nội