GIS Data Analyst Job at GeoSearch, New York, NY

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  • GeoSearch
  • New York, NY

Job Description

We are seeking a highly skilled GIS Technologist with at least five years of experience working within Esri platforms and geodatabases. The ideal candidate will possess strong software development skills in C# and/or Python, Angular and/or other Javascript based web frameworks. They will have expertise in applying GIS technology to statistical and financial analysis with a basic understanding of data science and regression analysis.

Responsibilities

  • Conduct comprehensive demographic, transportation network analysis, and other geospatial analysis, and using Esri data for CRE investment team
  • Utilize Esri software to analyze population trends, economic data, and geographic patterns relevant to CRE investments
  • Develop high-quality spatial visualizations and reports to communicate findings effectively to stakeholders
  • Create tools (code libraries, APIs, and Web Apps) that provide simplified workflows for software engineering, quantitative research, and investment teams
  • Maintain and optimize geodatabases to ensure data integrity and accessibility for ongoing analyses
  • Work in a dynamic and collaborative environment located in the heart of Midtown Manhattan

Qualifications

  • 5+ years of experience and at least 3 years working with Esri GIS software and geodatabases
  • Proficiency in programming languages, including C#, Python, and/or Angular
  • Strong analytical skills with a focus on statistics and financial data integration
  • Experience working with spatial data processing, visualization, and geospatial analysis
  • Knowledge of data science methodologies and their application to GIS
  • Ability to communicate technical concepts effectively to non-technical stakeholders
  • Bachelor's degree in GIS, Computer Science, Statistics, Finance, or a related field (or equivalent experience)
  • Experience with cloud-based GIS platforms and APIs
  • Familiarity with machine learning applications in GIS analysis
  • Familiarity with distributed compute frameworks like Spark
  • Experience with big data set efficient storage, management, and processing

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