Salary $36,799 - $89,201
Total Pay (?
XTotal Pay combines base annual salary or hourly wage, bonuses, profit sharing, tips, commissions, overtime pay and other forms of cash earnings, as applicable for this job. It does not include equity (stock) compensation, cash value of retirement benefits, or the value of other non-cash benefits (e.g. healthcare).
) $34,331 - $81,703
Updated: 9 Apr 2019
Job Description for Geospatial Analyst
Modern society relies on accurate mapping technology and the wealth of secondary data it provides; from transportation infrastructure to construction to logistics management to marketing, precision in geocoding is vital. A geospatial analyst is responsible for developing ways to obtain useful data from geographical information bases and systems so that the information can be used in a wide variety of industries and fields. This is accomplished through many different methods, such as physical maps/overlays and advanced computer analysis methods and mapping software.
Geospatial analysts are required to be detail-oriented and analytical. They must be able to identify and extract useful results from large amounts of geographical data, as well as develop the methods by which that data is used. A strong understanding of geography and the tools by which geography is understood, such as surveying methodology and GPS, are also vital to the position.
The most common educational requirement for prospective geospatial analysts is a master's degree in geographic information systems (GIS) or a related field. Some employers only require a bachelor's degree in a relevant discipline, and others may be willing to offer on-the-job training. Previous experience in cartography, drafting, engineering, and surveying are generally required or preferred. (Copyright 2019 PayScale.com)
Geospatial Analyst Tasks
Create detailed maps and associated metadata.
Import, clean, compare and understand geospatial data.
Use GIS software and multiple information sources to validate, update, and create maps.
Analyze geographic data and information, understand it and transform it into usable assets.