Geospatial Data Analyst - Spain Only

Reposted 3 Days Ago
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Spain
Junior
Software
The Role
The Junior Geospatial Data Analyst will work with geospatial datasets, assist clients, ensure data quality, and support model validation.
Summary Generated by Built In

About KatRisk

KatRisk is a leading provider of catastrophe risk modeling solutions, dedicated to helping businesses and organizations understand, manage, and mitigate the risks associated with natural disasters. Our innovative technology and expertise enable clients to make informed decisions, optimize their risk management strategies, and safeguard their assets and operations against potential catastrophes. As a rapidly growing and profitable company with strong product-market alignment, we are seeking dynamic individuals to join our team.  

Role Overview

We’re seeking a curious and detail-oriented Geospatial Data Analyst to join our team. In this role, you’ll support client usage and development of our catastrophe risk models, while gaining exposure to various perils, geographies, and models. This is an excellent opportunity to grow your technical skills and contribute directly to impactful risk solutions. 

Responsibilities

  • Work with geospatial datasets for use in catastrophe risk modeling workflows.
  • Assist Clients by answering support questions related to geospatial data formats, content, and usage.
  • Perform quality control checks on incoming and processed data to ensure accuracy and completeness.
  • Maintain clear documentation for geospatial datasets, transformation processes, and metadata.
  • Convert customer-provided datasets into KatRisk’s internal formats, ensuring data integrity and compatibility.
  • Support model validation efforts by preparing data inputs and comparing/packaging outputs.
  • Research and acquire new geospatial datasets to improve model coverage and resolution.

Requirements

Required

  • MSc, MEng, or equivalent in hydrology, environmental science, geosciences, engineering, data science, or a related quantitative field.
  • Quantitative skills with proficiency in R (preferred) or python for data processing and analysis.
  • Experience working with large data sets including data manipulation, merging and remapping.
  • Experience with geospatial data and tools (e.g., GDAL, R spatial packages, ArcGIS, QGIS).
  • Detail-oriented with strong analytical and problem-solving abilities.
  • Excellent communication and collaboration skills—even in remote or hybrid team settings.
Preferred
  • Understanding of catastrophe modeling concepts (hazard, exposure, vulnerability, loss).
  • Understanding of insurance risk metrics (AAL, PML, return periods) and probabilistic modeling concepts.
  • Client facing support experience, particularly involving technical data questions or geospatial products.
  • Familiar with Linux operating systems.

BENEFITS

  • Competitive annual salary.
  • Annual bonus based on individual and company performance.
  • Private medical insurance with broad coverage.
  • Flexible schedule and the possibility of remote work.
  • Be part of an international team facing top-level technical challenges.

At Technosylva, we value the diversity of experiences and skills, and we understand that each career path is unique. Therefore, we invite all individuals who believe they meet most of the requirements and are interested in developing and contributing in the role to apply.


Top Skills

Arcgis
Gdal
Python
Qgis
R
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The Company
HQ: La Jolla, California
29 Employees
Year Founded: 2012

What We Do

KatRisk is a global leader in climate catastrophe risk modeling, providing advanced solutions to insurers, governments, and financial institutions. With models covering over 190 countries, KatRisk offers high-resolution risk assessments for inland flooding, storm surge, tropical cyclone wind, severe convective storm, and wildfire. Utilizing state-of-the-art probabilistic modeling, our models stand out for their speed, technical excellence, and transparency.

As a pioneer in integrating climate change scenarios, KatRisk helps clients enhance resilience and financial sustainability in an increasingly volatile environment and our proprietary financial model enables smarter underwriting, investment, and mitigation strategies. With a focus on transparency, innovation, and customer-centricity, we are committed to shaping a resilient future for generations to come.

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