Data Analyst for forestry

2 days ago

Central Jakarta Jakarta, Indonesia Katam Technologies Full time

Katam is a Swedish green tech company founder 2016. We deliver high precision data to the forest sector supporting operational forestry decisions as well as long-term strategic decisions.

Forest data is collected using various tools such as cameras, drones and other data sources. By using patented algorithms, artificial intelligence and Katam's forestry experts, forest data is transformed into valuable decision-making metrics for our customers around the world. The Katam team is strongly committed to maximizing the utilization of forest land for the best of climate and society.

To further strengthen the company and to meet the increased customer demands, we are extending our Operations team to Indonesia.

We offer you

  • The opportunity to work for a tech startup company that wants to change the world with products and services that increase forestry productivity combined with environmental benefits.
  • To learn about forestry from all over the world and actively participate in changing the mindset of how the global forest industry should manage the forest land in a more precise and optimal way.

Job duties

  • Quality assurance and review of GIS-based forest measurement data that is collected by our customers and uploaded to Katam's cloud service.
  • Follow a semi-automated process for compilation of forest data analysis into high precision forestry reports.
  • Be a part of the global Operations-Forestry team, interacting with our internal forestry specialists, sales and R&D team.

Mandatory

  • University degree in Geographical Information Science and Engineering, Remote Sensing, Data Science or Forestry Engineering.
  • Very good knowledge of GIS and tools such as QGIS.
  • Very high computer skills and used to work in a Linux environment.
  • Programming skills and knowledge of Python and Python GIS libraries.
  • Verbal and written skills in English.

Meritorious

  • Knowledge of forest remote sensing techniques is an advantage.
  • Experience in practical forest management, inventory and forest management plans.
  • Experience in computer vision, photogrammetry mapping or lidar scanning.

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