Agronomy Data Analyst - Precision Agriculture & Crop Forecasting

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 to optimize palm oil production (TBS/CPO) through advanced statistical modeling and forecasting. Based in Jakarta Raya, you'll be part of a dynamic team working with cutting-edge tools like R, Python, and QGIS to transform raw data into actionable insights.

As an Agronomy Data Analyst at Bumitama Gunajaya Agro, you'll work closely with agronomists and farmers to develop and implement data-driven strategies that enhance crop yield and quality. Your daily tasks will involve data cleaning, analysis, and visualization using tools like Tableau and Power BI, ensuring that our farming operations are always at the forefront of precision agriculture.

📋 Tanggung Jawab Pekerjaan

• Develop and implement advanced statistical models to forecast crop yields and optimize palm oil production.
• Clean, analyze, and visualize data using R, Python, and QGIS to identify trends and insights.
• Collaborate with agronomists and farmers to implement data-driven strategies for improved crop yield and quality.
• Create and maintain comprehensive reports and dashboards using Tableau and Power BI.
• Stay updated with the latest advancements in precision agriculture and data analytics.
• Provide data-driven recommendations to enhance farming operations and sustainability.
• Ensure data accuracy and integrity through rigorous quality control processes.
• Support the development of data-driven decision-making processes across the organization.

🎓 Kualifikasi & Syarat

• Bachelor's degree in Agronomy, Statistics, Computer Science, or a related field.
• Minimum 3 years of experience in data analysis, with a focus on agriculture or related industries.
• Proficient in R, Python, and SQL for data analysis and modeling.
• Experience with GIS tools like QGIS for spatial data analysis.
• Strong understanding of statistical modeling techniques and machine learning algorithms.
• Familiarity with data visualization tools such as Tableau and Power BI.
• Excellent communication and collaboration skills to work effectively with agronomists and farmers.
• Ability to work independently and manage multiple projects simultaneously.

🛠️ Keahlian

Lowongan Terkait