Property Data Specialist

Karen Clark & Company

$85K — $95K *
Real Estate & Construction
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree in Geography, Economics, Statistics, or related field with 2-3 years of relevant experience.
  • Strong analytical skills with programming skills in R/Python and SQL.
  • Exceptional communication and organizational skills with attention to detail.
  • Familiarity with GIS software (ArcGIS or QGIS) is advantageous.
  • Experience with ArcPy, PyQGIS, GDAL, RasterIO, and C#/.NET is a plus.

Responsibilities

  • Create detailed databases of residential, commercial, and industrial properties from various datasets.
  • Monitor global population and construction trends.
  • Design efficient computational methods for processing large spatial datasets.
  • Produce reports and presentations summarizing project developments.
  • Assist model development and client-facing teams with geospatial analyses and visualizations.

Benefits

  • Opportunities for professional growth in a specialized field.
  • Access to innovative tools and technologies for data analysis.
  • Collaborative work environment with a team of risk modeling experts.
  • Comprehensive exposure to global natural peril risk assessment.
Full Job Description
Property Data Specialist

KCC seeks a Property Data Specialist to join our growing team of risk modeling experts. KCC develops models to estimate the risk from all types of natural perils including tropical cyclones, wildfires, severe convective storms, and earthquakes. KCC scientists and engineers create stochastic sets of potential future scenarios that are overlayed on geospatially distributed building and replacement cost data. These geospatial databases are developed by the exposure development team for countries around the world.

Expected Salary Range: $85,000-$95,000

Responsibilities
  • Develop detailed databases of residential, commercial, and industrial properties by investigating, analyzing, and synthesizing multiple internal and external datasets
  • Stay current with global population and construction trends
  • Develop innovative and efficient computational methods to process large spatial datasets across multiple data types and structures
  • Prepare reports and presentations that describe results of completed and ongoing developments
  • Support model development and client facing teams with geospatial calculations and visualizations


Qualifications
  • Master's degree in Geography, Economics, Statistics, or related field and 2-3 years work experience
  • Competent and proven analytical skills and programming experience in R/Python and SQL
  • Excellent oral and written communication skills, keen orientation to detail, an eye for professional presentation, and recognized organizational abilities
  • Experience with GIS software suite (ArcGIS suite or QGIS) handling both vector and raster data a plus
  • Proven experience using ArcPy or PyQGIS, GDAL, RasterIO, and C# and .NET, a plus

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