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Geospatial Analytics Jobs in California (NOW HIRING)

Trabus Technologies

Full Stack Engineer

San Diego, CA · On-site +1

This position offers the opportunity to work with cutting-edge technologies including cloud computing, artificial intelligence, DevSecOps, geospatial analytics, and large-scale data processing. The ...

EchoTwin AI

Senior Data Scientist

San Francisco, CA · On-site

Preferred : • Experience working with cloud platforms, especially AWS, and deploying models using cloud-based services. • Familiarity with geospatial analytics and processing spatial datasets ...

Hayden AI

Associate Data Scientist

San Francisco, CA · On-site

$120K - $156K/yr

Previous experience working with geospatial analytics and spatial datasets. * Experience with large-scale time-series and mobility datasets (e.g., GTFS, GPS traces, transit logs). * Experience with ...

Chloeta

GIS Production Specialist

Sacramento, CA · On-site

$60/hr

Produce high-quality GIS maps, spatial analyses, databases, and geospatial products in support of agency programs and projects. * Perform advanced GIS database management, editing, maintenance, and ...

Tailored Brands

Sr Store Analytics Manager

Dublin, CA · On-site +1

... geospatial analysis, or related retail growth disciplines. • Experience working with external data sources such as mobility, consumer spend, demographic, competitive, or market intelligence ...

Terrestris LLC

Senior GIS Specialist

Sacramento, CA · On-site +1

This position will support the development, maintenance, and enhancement of enterprise GIS capabilities through geospatial analysis, database management, application development, automation, and ...

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All JobsGeospatial Analytics JobsGeospatial Analytics Jobs in California

Geospatial Analytics information

See California salary details

$21.7K

$76.5K

$120.4K

How much do geospatial analytics jobs pay per year?

As of Aug 22, 2026, the average yearly pay for geospatial analytics in California is $76,480.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,800.00 and $79,000.00 per year, depending on experience, location, and employer.

What is geospatial analytics?

Geospatial analytics is the process of gathering, analyzing, and interpreting data that is associated with specific locations on the Earth. It combines geographic information systems (GIS), satellite imagery, GPS data, and other spatial data sources to uncover patterns, relationships, and trends. Geospatial analytics is widely used in fields like urban planning, environmental science, disaster response, and business intelligence to make data-driven decisions based on location-specific insights.

What are the key skills and qualifications needed to thrive as a geospatial analytics professional?

To thrive in Geospatial Analytics, you need strong spatial analysis skills, proficiency in geographic information systems (GIS), and a background in geography, computer science, or related fields. Familiarity with tools such as ArcGIS, QGIS, remote sensing software, and programming languages like Python or R is typically required, along with relevant certifications. Analytical thinking, problem-solving, and effective communication are crucial soft skills for interpreting complex spatial data and presenting findings to diverse stakeholders. These skills and qualifications are important for delivering actionable insights that inform decision-making across industries such as urban planning, environmental management, and logistics.

What are some common challenges faced by professionals in geospatial analytics, and how can they be addressed?

Professionals in geospatial analytics often encounter challenges such as managing large, complex datasets, ensuring data accuracy, and integrating information from diverse sources. To address these, it's important to develop strong skills in data cleaning, validation, and familiarity with various GIS and remote sensing tools. Collaboration with IT specialists and subject matter experts can also help streamline workflows and improve data integration. Staying updated on the latest industry software and best practices is key to overcoming technical hurdles and delivering actionable insights.

What is the difference between Geospatial Analytics vs GIS Analyst?

AspectGeospatial AnalyticsGIS Analyst
Required CredentialsBachelor's in Geography, GIS, or related field; proficiency in spatial analysis toolsBachelor's in Geography, GIS, or related field; GIS certifications often preferred
Work EnvironmentData analysis, modeling, and visualization in offices or remote settingsMap creation, data management, and spatial data editing in GIS software environments
Industry UsageUsed across industries like urban planning, environmental science, and transportation for data-driven decisionsPrimarily in government agencies, consulting firms, and environmental organizations for mapping and data management

While both roles involve spatial data, Geospatial Analytics focuses on analyzing and interpreting geographic data to derive insights, whereas a GIS Analyst primarily manages and creates geographic information systems and maps. Both roles often overlap but serve different core functions within the geospatial industry.

Is geospatial analysis a good career?

Geospatial analysis is a growing field that involves using GIS software, remote sensing, and spatial data to solve real-world problems across industries like urban planning, environmental management, and transportation. It offers opportunities for technical skill development, certifications, and often requires strong analytical and programming abilities. The career can be stable and rewarding for those interested in spatial data and technology.

What do you do as a geospatial analyst?

A geospatial analyst collects, analyzes, and interprets geographic data using GIS (Geographic Information Systems) software and spatial analysis tools. They create maps, models, and reports to support decision-making in fields like urban planning, environmental management, and transportation. Strong analytical skills and knowledge of spatial data are essential for this role.

What are popular job titles related to Geospatial Analytics jobs in California?

For Geospatial Analytics jobs in California, the most frequently searched job titles are:

What job categories do people searching Geospatial Analytics jobs in California look for?

The top searched job categories for Geospatial Analytics jobs in California are:

What cities in California are hiring for Geospatial Analytics jobs?

Cities in California with the most Geospatial Analytics job openings:

Geospatial Analytics jobs near you
Infographic showing various Geospatial Analytics job openings in California as of August 2026, with employment types broken down into 1% Internship, 95% Full Time, 2% Part Time, and 2% Contract. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution, with an average salary of $76,480 per year, or $36.8 per hour.

Computer Systems Analyst I (Geospatial / Technical Analyst)

Saalex

Camarillo, CA • On-site

$27.63 - $31.08/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago

Job description

Saalex is seeking an Computer Systems Analyst I in Camarillo, CA to support mission‑critical technical analysis activities. This is not an IT support or help desk role. The position focuses on mathematical analysis, interpretation of grid-based data, and geospatial coordinates in support of operational and engineering activities. The ideal candidate is comfortable working with maps, grid charts, latitude/longitude coordinates, and structured technical datasets. Exposure to basic scripting or automation is highly desirable

Position Type: Full-Time

Salary: $27.63 - $31.08

Work Location: Onsite. Travel to remote company work locations may be required.

Essential Functions:

  • Analyze and interpret grid charts, maps, and coordinate-based data sets
  • Work with latitude/longitude and coordinate reference systems to support technical and operational analyses
  • Perform basic mathematical calculations and data validation related to spatial or technical data
  • Develop, modify, or maintain simple script files to assist with data processing or automation tasks
  • Gather, compile, and analyze structured data for reports and technical documentation
  • Support fact‑finding and technical analysis of routine operational or analytical problems
  • Maintain organized digital filing systems and structured datasets
  • Assist senior analysts and engineers with data analysis, scripting tasks, and technical projects
  • Interface with engineers, analysts, and end users to clarify data requirements and analysis outcomes
  • Follow all operational, safety, quality, and environmental procedures related to assigned work
  • Utilize basic communication systems and comfortability utilizing comms
  • Other duties as assigned or required

Requirements

Required:

  • Proficiency in mathematics, including the ability to interpret charts, tables, and numerical data
  • Ability to read and understand grid charts, maps, and coordinate systems
  • Working knowledge of latitude and longitude coordinates
  • Strong analytical and problem‑solving skills
  • Ability to work with structured data and produce accurate results
  • Effective written and verbal communication skills
  • Ability to manage tasks, meet deadlines, and work independently or as part of a team

Desired:

  • Experience with scripting or automation (e.g., batch files, Python, PowerShell, or similar)
  • Background in geospatial data, mapping, or coordinate systems
  • Experience supporting engineering, operational, or analytical teams
  • Familiarity with technical documentation and data reporting environments

Education:

Associates Degree OR Vocational/technical training beyond high school and a minimum of six years of job-related experience.

Security Clearance:

Interim secret clearance required to start. Active secret clearance preferred. Requirements to obtain a clearance include US Citizenship, security investigation, etc.

Working Conditions:

Work is performed in a typical office environment with no unusual hazards. Occasional lifting (up to 20 pounds), constant sitting while using the computer terminal, constant use of sight abilities while reviewing documents, constant use of speech/hearing abilities for communication, and constant mental alertness are required. This position also may require working overtime hours, as well as weekends.

Benefits

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Short Term & Long Term Disability
  • Training & Development
  • Wellness Resources
  • Stock Option Plan