Get new jobs for this search by email

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