GIS Data Analyst Position Available In New York, New York
Tallo's Job Summary: This job listing in New York - NY has been recently added. Tallo will add a summary here for this job shortly.
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
