Geospatial Data Analyst, Remote Sensing Brooklyn, NY or Remote

Floods; New York (NY); Remote; USD 60,000 - 100,000; Full time

Job summary

An innovative firm is seeking a passionate Geospatial Data Analyst with a focus on Remote Sensing to join their Technology team. This role involves extracting and analyzing flood data to enhance parametric insurance products aimed at protecting climate-vulnerable communities. You will collaborate with scientists and commercial teams to develop creative solutions and visually engaging maps that communicate critical information to stakeholders. If you are driven by a desire to leverage technology for positive environmental impact and possess strong skills in geospatial analysis, this opportunity could be your next career step.

Benefits

Equity Compensation

Competitive Benefits Package

Regular Salary Reviews

Qualifications

• 3+ years experience in geospatial data science, focusing on remote sensing.
• Strong proficiency in Python and QGIS for data analysis and visualization.

Responsibilities

• Extract actionable flood information from satellite observations and datasets.
• Analyze historical flood data to ensure accurate representation of events.

Skills

Geospatial Data Analysis

Remote Sensing

Python Programming

QGIS

Data Visualization

Attention to Detail

Education

Bachelor’s degree in Geography

Advanced degrees in related fields

Tools

Geopandas

Rasterio/GDAL

Rio/Xarray

Git

Job description

Floodbase is changing the way businesses and communities adapt to increasing risk of climate change impacts from flooding. Last year, we launched a solution enabling re/insurers and public sector organizations to profitably design, underwrite, and monitor parametric flood insurance products, extending coverage to historically uninsurable locations and risks. Built on nearly a decade of industry-leading and peer-reviewed science, our proprietary solution continuously monitors flooding globally. Floodbase is backed by investors like Lowercarbon Capital, Collaborative Fund, and Floating Point, and trusted by NASA, The UN, Google, FEMA, and more.

About the Role

We are looking for a talented and enthusiastic Geospatial Data Analyst with a Remote Sensing focus to join our Technology team. You will collaborate with fellow analysts, scientists and particularly commercial team members to understand client needs, extract relevant flood information from Earth observation sensors and leverage internal and external GIS/RS tools to analyze and propose creative solutions. The results of your work will have a direct impact on increasing financial protection for climate vulnerable communities around the world. The role is remote, with core hours in EST or hybrid based in Brooklyn, NY.

Here’s what you’ll do

• Extract actionable flood information from large structured and unstructured datasets of satellite observations, hydrologic model outputs, and auxiliary records (stream gauges, water occurrence etc) that can be incorporated into the Floodbase parametric insurance product.
• Analyze and validate historical flood time series using secondary data sources to ensure that damaging flood events are well represented.
• Identify and rectify false positives and false negatives in flood maps to ensure the highest possible quality, while working with the Research and Development team to rectify persistent problem areas to improve our flood mapping techniques.
• Create visually attractive and engaging maps and animations (e.g., GIFs) to showcase our flood maps to clients, journalists and other stakeholders.
• Identify and explain discrepancies between time series data and valid historical events, and propose relevant solutions to meet client needs.
• Collaborate with the team by contributing to existing tools and workflows, and propose improvements where needed.

Who you are

• A curious individual with a keen interest in flood science, remote sensing, and climate change issues, motivated to work on novel beneficial technology to make a positive impact in the world.
• Organization skills, meticulousness and a keen attention to detail is required.
• Holds a Bachelor’s degree in geography, earth sciences, or a related quantitative field, with a focus or demonstrated interest in GIS and remote sensing. Advanced degrees are a plus but not required.
• ~3 years of experience working with geospatial data science in general. Experience working with earth observation imagery using remote sensing tools is a plus. Good proficiency using QGIS is required.
• Proficient in Python programming within the open-source geospatial ecosystem, particularly with tools like Geopandas, Rasterio/GDAL, Rio/Xarray, etc.
• Familiarity with various raster and vector formats and best practices (e.g., GeoTIFF, COG, GeoJSON).
• Experienced in creating production quality maps that adhere to cartographic best practices.
• Ability to communicate effectively with both technical and non-technical audiences including but not limited to scientists, software engineering, internal commercial team stakeholders, insurance industry stakeholders, disaster managers at organizations like FEMA, etc.
• Experience in client facing technical product delivery role is a plus.
• Basic familiarity with Git source control and code documentation standards.

Salary range

Floodbase offers competitive salaries with regular reviews and adjustments based on performance and industry standards. Additionally, this individual will receive equity compensation and a competitive benefits package.

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This role requires past experience with geospatial data -- general data science or data engineering experience will not be sufficient.

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