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Gis Data Analyst Jobs (NOW HIRING)

Expertise and/or relevant experience in the following areas are mandatory: • GIS data modeling o For Geospatial Data WarehousingoLinear Referencing Systems • Linear Referencing Methodso ...

Network Strategist- GIS

Dallas, TX · Remote

$60 - $85/hr

Description We are seeking a GIS Data Analyst to support market expansion and network growth initiatives through advanced geospatial research and data-driven market analysis. This role will focus on ...

This will include GIS data analysis, data mining, technical support and database maintenance to meet internal and external customers' requirements. This role requires demonstrated ability to solve ...

GIS Analyst

Tuscaloosa, AL · On-site

$64K/yr

Performs data conversion and processing as needed to support GIS data analysis. Ensures adherence to data standards as directed by the supervisor. Plans, prepares, produces, and maintains various ...

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GIS Analyst

Johnstown, CO · On-site

$76K - $114K/yr

The GIS Analyst performs spatial analysis, geoprocessing, and data automation, and supports integration with external systems through APIs and database connections. Responsibilities include ...

Support the Senior GIS Developer in building and maintaining GIS data workflows using open-source ... Cross-functional teams can reliably use geospatial outputs in products, analytics, and planning.

GIS Analyst

Caldwell, ID · On-site

$29.73 - $35.29/hr

GIS Data Maintenance/Manipulation/Analysis: * * Perform complex GIS spatial data and relational ... database maintenance, manipulation, and analysis using GIS tools * Conduct spatial analysis ...

GIS Analyst

Tuscaloosa, AL · On-site

$64K/yr

Performs data conversion and processing as needed to support GIS data analysis. Ensures adherence to data standards as directed by the supervisor. Plans, prepares, produces, and maintains various ...

Tetra Tech is seeking a GIS Analyst / Modeler to join our Ocean Science team, with flexibility to ... Perform QA/QC and data cleaning for geospatial, tabular, and model input/output data to ensure ...

The GIS Analyst is responsible for developing, implementing, and maintaining the City's GIS system ... Assists with data collection using GPS and ESRI. * Digitize, create, maintain, display, and update ...

The GIS Analyst is responsible for developing, implementing, and maintaining the City's GIS system ... Assists with data collection using GPS and ESRI. * Digitize, create, maintain, display, and update ...

Supervisor - GIS Operations Location: In Office , Rochester NY The base salary range for this ... Develops and maintains geospatial data and data repository. Provides training/mentoring to Analysts ...

Key responsibilities include developing and maintaining GIS data, creating maps and spatial analyses, establishing workflows and quality standards, managing project schedules and deliverables, and ...

Supervisor - GIS Operations Location: In Office , Rochester NY The base salary range for this ... Develops and maintains geospatial data and data repository. Provides training/mentoring to Analysts ...

Ability to create complex spatial and tabular visualizations and reports using GIS data. * Ability to develop spatial database tables for testing, analysis, and map creation. * Ability to mentor and ...

GIS Analyst

Chesterfield, VA · On-site

$62K - $83K/yr

... GIS applications, programming languages and development tools. Skill in utilizing computer aided ... Ability to collect, interpret and integrate relevant data from multiple sources; to communicate ...

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Gis Data Analyst information

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How much do gis data analyst jobs pay per year?

As of Aug 13, 2026, the average yearly pay for gis data analyst in the United States is $75,010.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $84,500.00 per year, depending on experience, location, and employer.

Is a GIS Data Analyst a good career?

A GIS Data Analyst is a valuable role that involves analyzing geographic data using GIS software and tools like ArcGIS or QGIS. It offers opportunities in various industries such as urban planning, environmental management, and transportation, often requiring technical skills and certifications. The career can be stable and growing as spatial data becomes increasingly important for decision-making.

What does a GIS Data Analyst do?

A GIS Data Analyst collects, manages, and analyzes geographic data using GIS software to support decision-making and problem-solving. They create maps, perform spatial analysis, and ensure data accuracy, often working with tools like ArcGIS or QGIS and requiring strong analytical skills. The role may also involve data visualization and reporting to communicate findings effectively.

What are some typical projects or tasks that a GIS data analyst works on within a team?

GIS Data Analysts often collaborate with engineers, urban planners, or environmental scientists to process, visualize, and interpret spatial data for various projects, such as land use planning, infrastructure development, or environmental monitoring. On a typical day, you might clean and validate datasets, create detailed maps or spatial reports, perform spatial queries, and present findings to stakeholders. There is also frequent involvement in meetings with cross-disciplinary teams to define project outcomes and ensure data accuracy. This collaborative environment offers exposure to diverse projects and opportunities to develop specialized expertise in a variety of sectors.

What are the key skills and qualifications needed to thrive in the GIS data analyst position, and why are they important?

To thrive as a GIS Data Analyst, you need strong spatial analysis, data management, and cartography skills, typically supported by a degree in geography, environmental science, or a related field. Proficiency with GIS software like ArcGIS or QGIS, as well as familiarity with databases, Python, or SQL, and certifications like GISP are valuable assets. Attention to detail, analytical thinking, and clear communication enable effective collaboration and accurate data interpretation. These skills ensure efficient extraction of insights from spatial data, supporting informed decision-making across industries.

Is GIS data analyst still in demand?

GIS Data Analysts are in strong demand due to the increasing reliance on geographic information systems across industries such as urban planning, environmental management, and transportation. Skills in spatial analysis, GIS software like ArcGIS or QGIS, and data management are highly valued, and job growth is expected to continue as organizations expand their geospatial capabilities.

What is a GIS data analyst?

A GIS Data Analyst is responsible for collecting, analyzing, and interpreting geographic data to support decision-making. They use Geographic Information Systems (GIS) software to create maps, visualize spatial data, and analyze geographic trends. Their work is often used in industries like urban planning, environmental management, transportation, and public health. GIS Data Analysts collaborate with other professionals to provide insights based on spatial relationships, helping organizations make data-driven decisions.

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What are the most commonly searched types of Gis Data Analyst jobs?

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Infographic showing various Gis Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $75,010 per year, or $36.1 per hour.

GIS Data Architect/Analyst

Beyond SOF

Baton Rouge, LA • On-site

Full-time

Re-posted 5 hours ago


Job description

Expertise and/or relevant experience in the following areas are mandatory:
•GIS data modeling
o For Geospatial Data WarehousingoLinear Referencing Systems
•Linear Referencing Methodso Artificial Intelligence tools
•Machine Learning•Deep LearningoLarge Language Models
•Generative Pre-training Transformer
Expertise and/or relevant experience in the following areas are desirable but not mandatory:
•Feature Manipulation Engine (FME) oReaders and Writers for Extracting, Transforming and Loading (ETL) of data
•Cross platform data formats
•Scripting and Coding for ETL processes