7 дней назад
Geospatial Data Analyst (Satellite Analytics)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Geospatial Data Analyst (Satellite Analytics) (QGIS/Python/SQL): Analyzing and validating geospatial and satellite data for analytics deliveries across energy and transportation infrastructure with an accent on data quality, pipeline reliability, and real-world customer use cases. Focus on investigating root causes in large-scale geospatial datasets, debugging analytics pipelines, and coordinating issue resolution with engineering, project management, and product teams.
Location: Berlin, Germany; hybrid work from the Berlin office. Candidates must live in Berlin or be willing to relocate.
Company
develops satellite data and AI solutions for monitoring critical infrastructure across energy and transportation.
What you will do
- Analyze, validate, and interpret geospatial and satellite data across customer projects.
- Own analytics deliveries and ensure high technical quality, accuracy, and reliability.
- Investigate data and pipeline issues, identify root causes, and communicate findings to engineering teams.
- Collaborate with Project Managers, engineers, Operations Support, Product, and Engineering teams to resolve delivery issues.
- Build an end-to-end understanding of analytics pipelines and identify efficiency and quality improvements.
- Use AI coding and analysis tools such as Claude or Cursor for validation, debugging, and analysis while critically verifying their output.
Requirements
- Degree in geoinformatics, remote sensing, geography, computer science, data science, statistics, mathematics, or another quantitative or technical field.
- Hands-on experience with geospatial data and GIS tools, ideally QGIS.
- Strong analytical, problem-solving, ownership, self-management, and communication skills.
- Comfort using AI coding and analysis tools and independently validating their results.
- Strong written and verbal English communication skills.
- Collaborative work style with technical and non-technical stakeholders.
Nice to have
- Python, SQL, remote sensing, or Earth Observation experience.
- Experience with geodatabases, large-scale data management, AWS, or other cloud infrastructure.
- Machine learning, deep learning, or software engineering experience.
- Experience with workflow orchestration tools such as Prefect.
Culture & Benefits
- One-year fixed-term maternity leave cover contract.
- Collaborative learning environment with workshops, knowledge-sharing sessions, journal clubs, and hackathons.
- Focus on sustainable work practices; necessary overtime is offset with time off and rest.
- Central Berlin Kreuzberg office with free fruit, nuts, and drinks.
- Potential employee stock option participation, Urban Sports membership, BVG subsidy, Jobrad, and corporate pension program.
- International environment with more than 30 nationalities.
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