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Freelance Spatial Data Analyst Jobs (NOW HIRING)

In the process, the incumbent will audit GIS data for accuracy and create, delete and edit all spatial data other than cadastral data. Examples of Duties 1. GIS Database Management - Evaluate ...

The analyst will take on projects to extract, evaluate, and visualize spatial and non-spatial data for business intelligence purposes and program performance measurement by departments. This will ...

The Senior GIS Analyst will manage and analyze spatial data, develop GIS applications, and deliver insights to support business and project decision-making. Responsibilities : • Manage and analyze ...

The GIS team at OTI builds various spatial data solutions and products, enabling the analysis and use of Citywide spatial assets. The Lead GIS Analyst will be part of an exciting team to help New ...

... spatial data pipelines, and ensuring the reliability and integrity of GIS data across the ... Proven experience as a GIS Analyst supporting Land and BD A&D operations * BA/BS in Geography ...

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Freelance Spatial Data Analyst information

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$61

How much do freelance spatial data analyst jobs pay per hour?

As of May 31, 2026, the average hourly pay for freelance spatial data analyst in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Freelance Spatial Data Analyst, and why are they important?

To thrive as a Freelance Spatial Data Analyst, you need a strong background in GIS, spatial statistics, and data analysis, usually supported by a degree in geography, environmental science, or a related field. Proficiency in GIS software (such as ArcGIS or QGIS), spatial databases (like PostGIS), and programming languages (such as Python or R) is typically required. Self-motivation, effective communication, and problem-solving skills are vital for managing projects and collaborating with diverse clients. These skills ensure accurate analysis, actionable insights, and successful client relationships in a competitive freelance environment.

How do Freelance Spatial Data Analysts typically manage multiple projects and client expectations simultaneously?

Freelance Spatial Data Analysts often juggle several projects for different clients, which requires strong organizational and communication skills. They commonly use project management tools to track deadlines, deliverables, and client feedback, ensuring that each project stays on schedule. Clear and regular communication with clients about progress and potential challenges is essential to maintain transparency and build trust. Additionally, freelancers usually set realistic timelines and may stagger project start dates to avoid overlapping peak workloads.

What is a Freelance Spatial Data Analyst?

A Freelance Spatial Data Analyst is a professional who works independently to analyze and interpret spatial or geographic data for various clients or organizations. They use specialized software and tools like GIS (Geographic Information Systems) to visualize, manipulate, and extract insights from location-based data. Their work often supports decision-making in areas such as urban planning, environmental management, transportation, and business intelligence. Freelance spatial data analysts typically manage their own schedules and projects, working with multiple clients on a contract basis.

What is the difference between Freelance Spatial Data Analyst vs GIS Specialist?

AspectFreelance Spatial Data AnalystGIS Specialist
CredentialsTypically requires a degree in geography, GIS, or related field; certifications like GISP are commonSimilar credentials; often holds GIS certifications and advanced degrees
Work EnvironmentIndependent, project-based, remote or on-siteEmployed by organizations, working in office or field settings
Industry UsageFreelance roles across various industries like urban planning, environmental management, and transportationFull-time roles within organizations, agencies, or companies
Search & Comparison IntentOften compared for freelance opportunities and project scopeCompared for full-time employment and organizational roles

The main difference is that a Freelance Spatial Data Analyst works independently on diverse projects, often remotely, while a GIS Specialist is typically employed full-time within an organization. Both roles require similar credentials and skills, but their work environments and employment types differ significantly.

More about Freelance Spatial Data Analyst jobs
What cities are hiring for Freelance Spatial Data Analyst jobs? Cities with the most Freelance Spatial Data Analyst job openings:
What are the most commonly searched types of Spatial Data Analyst jobs? The most popular types of Spatial Data Analyst jobs are:
What states have the most Freelance Spatial Data Analyst jobs? States with the most job openings for Freelance Spatial Data Analyst jobs include:
What job categories do people searching Freelance Spatial Data Analyst jobs look for? The top searched job categories for Freelance Spatial Data Analyst jobs are:
Infographic showing various Freelance Spatial Data Analyst job openings in the United States as of May 2026, with employment types broken down into 43% As Needed, 29% Full Time, 14% Part Time, and 14% Contract. Highlights an 30% Physical, 1% Hybrid, and 69% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.
SIGINT Geospatial Analyst (SGA)? All Levels

SIGINT Geospatial Analyst (SGA)? All Levels

Markesman Group

Fort George G Meade, MD

Full-time

Posted 28 days ago


Job description

Markesman Group is seeking SIGINT Geospatial Analyst (SGA)? All Levels to join our team of qualified and diverse individuals. The qualified applicant will join of our team on Fort Meade. As an SGA, you will be given the opportunity to showcase your SIGINT Analysis expertise while supporting missions that are vital to our national security.

Position Description:

  • Applies geographic information science in response to intelligence needs using SIGINT data, to include: the application of temporal and spatial thinking in interpreting SIGINT data in geographic context. Such interpretation requires skills, knowledge, and abilities drawn from multiple disciplines in order to undertake spatial data manipulation, spatial data analysis, spatial statistical analysis, and spatial modeling.
  • Have a fundamental knowledge of geospatial SIGINT data, analytical methods, and visualization, in addition to technical knowledge of target technologies.
  • Use the various systems and tools that facilitate spatial analysis.
  • Maintain or support the maintenance of reference knowledge databases and dissemination of intelligence.

Qualifications:

  • Relevant experience must be in an area directly related to the customer's mission (e.g., collection, cyber and intelligence analysis), in a similar mission in the IC or DoD, in geospatial analysis and/or geospatial information systems. At least some experience conducting geospatial analysis is preferred.
  • A TS/SCI with Poly clearance is required.

Level 1

  • Bachelor?s Degree + 2 years of relevant experience
  • Associate?s Degree + 4 years of relevant experience
  • HS Diploma / GED + 6 years of relevant experience

Level 2

  • Doctoral Degree + 2 years of relevant experience
  • Master?s Degree + 3 years of relevant experience
  • Bachelor?s Degree + 5 years of relevant experience
  • Associate?s Degree + 7 years of relevant experience
  • HS Diploma / GED + 9 years of relevant experience

Level 3

  • Doctoral Degree + 4 years of relevant experience
  • Master?s Degree + 6 years of relevant experience
  • Bachelor?s Degree + 8 years of relevant experience
  • Associate?s Degree + 10 years of relevant experience
  • HS Diploma / GED + 12 years of relevant experience

Level 4

  • Doctoral Degree + 7 years of relevant experience
  • Master?s Degree + 9 years of relevant experience
  • Bachelor?s Degree + 11 years of relevant experience
  • Associate?s Degree + 13 years of relevant experience
  • HS Diploma / GED + 15 years of relevant experience