Agronomy Data Analyst - Agricultural Production Forecasting & Statistical Modeling

Join Bumitama Gunajaya Agro, a leading name in Indonesia’s agribusiness sector, as an Agronomy Data Analyst. In this pivotal role, you will drive data-driven decision-making by collecting, processing, and analyzing agricultural production data to optimize yield forecasting and statistical modeling. Based in Jakarta Raya, this opportunity offers a chance to work with cutting-edge tools like QGIS, ArcGIS, and R to transform raw data into actionable insights.

At Bumitama Gunajaya Agro, we are committed to sustainable and efficient agricultural practices. As an Agronomy Data Analyst, you will work closely with agronomists, farmers, and other stakeholders to ensure our forecasts are accurate and our statistical models are robust. This role is perfect for someone with a strong background in agronomy and data analysis, looking to make a significant impact in the agricultural sector.

📋 Tanggung Jawab Pekerjaan

• Collect, process, and analyze agricultural production data using QGIS and ArcGIS.
• Develop and maintain statistical models for yield forecasting.
• Create detailed reports and visualizations to communicate findings to stakeholders.
• Collaborate with agronomists and farmers to ensure data accuracy and relevance.
• Utilize R and Python for advanced data analysis and modeling.
• Stay updated with the latest trends and technologies in agricultural data analysis.
• Participate in cross-functional projects to support the company’s strategic goals.
• Ensure compliance with data privacy and security regulations.

🎓 Kualifikasi & Syarat

• Bachelor’s degree in Agronomy, Agricultural Science, or related field.
• 3-5 years of experience in data analysis, particularly in the agricultural sector.
• Proficiency in QGIS, ArcGIS, and R.
• Strong understanding of statistical modeling and data visualization.
• Excellent communication and collaboration skills.
• Ability to work independently and as part of a team.
• Familiarity with Python is a plus.
• Certification in agricultural data analysis or related field is a plus.

🛠️ Keahlian

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