Agricultural Analytics Analyst

Join GreenHarvest Innovations in Bangka Belitung as an Agricultural Analytics Analyst and drive data-driven decisions to revolutionize farming efficiency. You’ll leverage cutting-edge analytics to optimize crop yields, reduce waste, and empower local farmers with data-driven insights. Our company, a pioneer in sustainable agriculture, is committed to transforming the way farming is done in Indonesia. As an Agricultural Analytics Analyst, you’ll work closely with farmers, agronomists, and data scientists to collect, analyze, and interpret agricultural data. This role is perfect for someone passionate about technology and agriculture who wants to make a tangible impact on food security.

In this role, you’ll spend your days analyzing large datasets using tools like SQL, Python, and R, creating visualizations with Tableau or Power BI, and collaborating with cross-functional teams to implement data-driven solutions. You’ll have the opportunity to work with real-time data from IoT sensors, satellite imagery, and weather patterns to provide actionable insights for farmers. This is a chance to be at the forefront of the agricultural revolution in Indonesia.

📋 Tanggung Jawab Pekerjaan

• Collect, clean, and analyze agricultural data using SQL, Python, and R.
• Create visualizations and dashboards using Tableau or Power BI to communicate insights to stakeholders.
• Develop and implement data-driven strategies to optimize crop yields and reduce waste.
• Collaborate with farmers, agronomists, and data scientists to gather and interpret data.
• Work with real-time data from IoT sensors, satellite imagery, and weather patterns.
• Provide actionable insights and recommendations to improve farming practices.
• Participate in cross-functional projects to drive innovation in sustainable agriculture.
• Stay updated with the latest trends and technologies in agricultural analytics.

🎓 Kualifikasi & Syarat

• Bachelor’s degree in Agriculture, Data Science, Statistics, or a related field.
• 3-5 years of experience in agricultural analytics or a related field.
• Proficiency in SQL, Python, and R for data analysis.
• Experience with data visualization tools like Tableau or Power BI.
• Strong understanding of agricultural practices and technologies.
• Ability to work with large datasets and derive meaningful insights.
• Excellent communication and collaboration skills.
• Passion for technology and agriculture, with a desire to make a tangible impact.

🛠️ Keahlian

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