Beranda Loker Detail
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Environmental Science 🏢 Full Time ⭐️ Terverifikasi

Forestry Data Analyst

GreenScape Analytics
Bekasi
Estimasi Gaji
Rp 12.000.000 – Rp 18.000.000
Terbaru
Live Update
22 Juni 2026
Batas Akhir
29 Agu 2026

Deskripsi Pekerjaan

Join our pioneering environmental data team at GreenScape Analytics! We're seeking a Forestry Data Analyst to transform complex geospatial and ecological data into actionable insights for sustainable forest management. This hybrid role combines cutting-edge technology with environmental conservation, allowing you to directly impact Indonesia's reforestation initiatives while working in our state-of-the-art Bekasi facility.

As a key member of our Climate Solutions Division, you'll collaborate with ecologists, government agencies, and international conservation partners to develop data-driven strategies that combat deforestation and promote biodiversity. Enjoy competitive benefits, flexible work arrangements, and opportunities for professional growth in one of Indonesia's fastest-growing green tech companies.

Tanggung Jawab

  • Analyze satellite imagery, LiDAR data, and IoT sensor networks to monitor forest health and detect illegal logging activities
  • Develop predictive models for carbon sequestration, wildfire risk, and species distribution patterns
  • Create interactive dashboards and geospatial visualizations using GIS platforms (ArcGIS, QGIS)
  • Collaborate with field teams to validate data accuracy and conduct ground-truthing surveys
  • Produce comprehensive environmental impact assessments for sustainable forestry projects
  • Design machine learning algorithms to automate forest inventory and change detection processes
  • Present findings to stakeholders through technical reports and executive summaries

Kualifikasi

  • Bachelor's degree in Forestry, Environmental Science, Geomatics, or Data Science (Master's preferred)
  • 3+ years of experience analyzing geospatial data with ArcGIS, QGIS, or equivalent platforms
  • Proficiency in Python/R for statistical analysis and spatial modeling
  • Strong understanding of remote sensing techniques (NDVI, change detection)
  • Experience with SQL databases and cloud platforms (AWS/Azure) for big data processing
  • Knowledge of Indonesian forestry regulations and REDD+ frameworks
  • Portfolio demonstrating data visualization projects for environmental applications
  • Certification in GIS or Remote Sensing (e.g., Esri, GISP) highly valued

Keahlian yang Dibutuhkan

GIS Remote Sensing Python R SQL ArcGIS QGIS Machine Learning Carbon Sequestration Forest Inventory Spatial Analysis Data Visualization

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