นักวิเคราะห์และประเมินผลผลิต
Key Responsibilities:
Crop Forecasting & Analysis
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Develop and implement advanced crop forecasting models by integrating crop characteristics, soil properties, and climatic data to deliver accurate yield forecasts and support strategic raw material procurement planning.
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Monitor crop cultivation conditions for key crops in both domestic and international production areas, including corn, cassava, soybean, and rice, covering crop growth stages, field conditions, and weather patterns.
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Analyze the impacts of weather variability and climate conditions on crop growth and yield, with particular focus on late growing and harvest periods, and assess implications for supply risk.
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Forecast planting and production trends for upcoming growing seasons, supporting short-, medium-, and long-term strategic planning.
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Leverage advanced technologies, such as satellite imagery and artificial intelligence, to enhance crop monitoring accuracy, performance assessment, and forecasting capability.
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Collaborate closely with Trading, Analytics, and Weather Forecasting teams, as well as internal and external stakeholders, to ensure effective information flow and aligned decision-making.
Climate Action
· Support the formulation of strategic initiatives and conduct greenhouse gas (GHG) inventory assessments across the agricultural supply chain to advance the organization’s Net Zero objectives.
· Identify opportunities and drive emission reduction through sustainable agricultural practices, including regenerative farming and soil management, while assessing climate-related risks that may impact crop resilience and supply chain stability.
· Facilitate climate-related disclosures in alignment with global frameworks (e.g., CDP, TCFD) and monitor emerging policies, carbon market developments, and innovations in low-carbon agricultural technologies.
Qualifications:
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Bachelor’s degree or higher in Agronomy, Agricultural Science, or related fields
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Minimum 3 years of experience in crop forecasting, crop monitoring, yield analysis, or agricultural data analysis, particularly in field crop production systems.
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Strong understanding of crop–soil–climate relationships, including crop growth stages, yield formation, and the impacts of weather variability on productivity.
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Proven ability to analyze and interpret large and complex agricultural datasets, such as crop statistics, weather data, satellite imagery, or yield records, to support forecasting and decision-making.
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Experience in crop performance tracking and yield evaluation, including monitoring planting, growth, and harvest outcomes across seasons and regions.
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Good communication and stakeholder coordination skills, with the ability to work effectively with cross-functional teams (e.g., Trading, Analytics, Weather, and field partners).
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Strong organizational skills and ability to manage multiple priorities in a dynamic, cross-functional environment.
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