Geospatial Data Storytelling - Munich, Deutschland - OroraTech

OroraTech
OroraTech
Geprüftes Unternehmen
Munich, Deutschland

vor 2 Wochen

Lena Wagner

Geschrieben von:

Lena Wagner

beBee Recruiter


Beschreibung

The Mission:


  • Join us in empowering better decisions for climate resilience with continuous thermal data from space.

What you'll be doing:


  • Leverage expertise in geospatial data storytelling and remote sensing to analyze and communicate complex datasets, data products and datadriven insights in a compelling narrative format.
  • Collaborate with Business Development, Product, Sales, Marketing and Data Science to understand product objectives and translate data insights and business value into engaging and impactful narratives.
  • Employ effective storytelling techniques, including datadriven narratives, visual metaphors, and interactive elements, to enhance the audience's understanding and engagement.
  • Present geospatial data stories to stakeholders, clients, and team members in a compelling and persuasive manner.
  • Develop visually compelling and interactive geospatial data visualizations using Python, ArcGis Storymaps, Figma or else.
  • Stay updated with the latest trends and advancements in geospatial data visualization techniques and tools.

Relevant skills:


Relevant Technical Skills:

  • 35 years of experience as a visual designer, geo data analyst, or similar.
  • Proficiency in geospatial data analysis and interpretation.
  • Experience working with remote sensing data.
  • Expertise in geospatial data visualization tools and software (e.g., ArcGIS, QGIS, Python libraries like matplotlib and seaborn).
  • Understanding of statistical analysis and data modeling in a geospatial context.
  • Familiarity with remote sensing data formats (e.g., GeoTIFF, NetCDF).
  • Familiarity with common video, photo, and vector editing tools.

Relevant Soft Skills:

  • Excellent storytelling and narrative development skills.
  • Strong communication and presentation abilities.
  • Ability to translate complex data into understandable and engaging stories.
  • Creativity and imagination in designing compelling data visualizations.
  • Critical thinking and analytical skills for data analysis and interpretation.
  • Collaboration and teamwork to work effectively with interdisciplinary teams.
  • Attention to detail and commitment to data accuracy and quality.
  • Ability to work independently and take ownership of projects.

About us:

At OroraTech, you can expect a down-to-earth yet high-caliber work environment.

You will be part of the OroraTech team - a talented, international, and open-minded team that is highly motivated to create impact.

OroraTech allows you to grow on a professional and personal level.

  • You have the opportunity to become part of our firefighting mission from space and deliver the tools to better cope with natural disasters and mitigate climate change could a job be any cooler?
  • You will be responsible for your own project(s), time management, and sometimes even budget.
  • You will gain insights into the most exciting new technologies and business models.
  • We value perfect espresso and (oat milk) flat white through our highgrade espresso machine. Additionally, free drinks, beer, and snacks are always available at the office.
  • Access to mobility or sports benefits (Urban Sports Club) after your probation period.
  • Yes, we have a pool and access to the rooftop terrace at the office compound
  • There is the opportunity to become part of our virtual employee stock option program (VESOP) for all permanent employees.
  • You will always have a great story to tell at parties

If you apply:

We value well-crafted motivation letters stating how you learned about OroraTech, why you think you would be a great addition to the team and why you want to work at a NewSpace start-up.

Please always include references of your prior work (for example, your thesis, talks, papers, code repositories, websites, write-ups, articles, apps, exposes, anything), if permissible.

Please avoid detailed grade reports and online certificates. Please also list your earliest starting date and expected salary.

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