Geospatial / GIS Analyst

Nestium

Union, Northern (NJ, KY)

Hybrid

USD 70,000 - 100,000

Full time

14 days+
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Job summary

Nestium is seeking a geospatial analyst to prepare and clean geospatial layers for specific sites, compute catchment boundaries, and profile nearby features. You will harmonise datasets across borders and coordinate reference systems, delivering well-documented spatial data for reliable analysis.

You should be proficient with GIS tools and open spatial data, comfortable with messy real-world data, and capable of explaining map insights clearly and transparently.

Qualifications

  • Experience with GIS tools and open spatial data.
  • Ability to handle messy real-world data across countries and CRS.
  • Ability to explain what a map is telling you – and where it isn't.

Responsibilities

  • Prepare and clean geospatial layers – catchments, competition, accessibility, land use – for specific sites.
  • Compute catchment boundaries (drive-time / walk-time) and profile who and what is nearby.
  • Harmonise datasets across national boundaries and coordinate reference systems.
  • Hand the analysis clean, documented spatial data it can rely on.

Skills

Geospatial analysis
Data wrangling
Communication of insights

Tools

QGIS
PostGIS

Job description

Location sits at the core of every Nestium answer. You turn raw spatial data into the catchment, competition and accessibility layers our analysis runs on — clean, documented and comparable across countries — using EU and national spatial-data infrastructure.

What you'll do
  • Prepare and clean geospatial layers – catchments, competition, accessibility, land use – for specific sites.
  • Compute catchment boundaries (drive-time / walk-time) and profile who and what is nearby.
  • Harmonise datasets across national boundaries and coordinate reference systems.
  • Hand the analysis clean, documented spatial data it can rely on.
What we're looking for
  • You've worked with GIS tools (QGIS, PostGIS or similar) and open spatial data.
  • You're comfortable with messy, inconsistent real-world data across countries and CRS.
  • You can explain what a map is actually telling you – and where it isn't.
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