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Freelance Spatial Data Analyst Jobs (NOW HIRING)

Houston Galveston Area Council

Data Analyst

Houston, TX · On-site

$60K - $75K/yr

... and spatial analysis techniques to support scenario planning. * Conduct simulations to evaluate ... Respond to data requests related to population, employment, and land use from local governments ...

Guilford County

Senior Data Analyst

Greensboro, NC

$74K - $92K/yr

The Senior Data Analyst builds and maintains a diverse portfolio of projects, designing and ... Familiarity with ArcGIS or spatial data concepts. Supplemental Information Physical Demands An ...

Aiken County (SC)

GeoServices Senior Analyst

Aiken, SC

$47K - $54K/yr

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 ...

SuperbTech

GIS Analyst

Whittier, CA

$45 - $55/hr

GIS Analyst Location: Whittier CA, Pay Rate: $45.00 - $55.00 per hour (DOE) Position Overview We ... Perform quality control and validation of spatial data * Support ongoing GIS operations, data ...

SuperbTech

GIS Analyst

Whittier, CA · On-site

$45 - $55/hr

GIS Analyst Location: Whittier CA, Pay Rate: $45.00 - $55.00 per hour (DOE) Position Overview We ... Perform quality control and validation of spatial data * Support ongoing GIS operations, data ...

City of Philadelphia

Lead GIS Analyst

Philadelphia, PA · On-site

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 ...

SuperbTech,Inc.

GIS Analyst

Whittier, CA · On-site

$45 - $55/hr

GIS Analyst Location: Whittier CA, Pay Rate: $45.00 - $55.00 per hour (DOE) Position Overview We ... Perform quality control and validation of spatial data * Support ongoing GIS operations, data ...

SuperbTech

GIS Analyst

Whittier, CA

$45 - $55/hr

GIS Analyst Location: Whittier CA, Pay Rate: $45.00 - $55.00 per hour (DOE) Position Overview We ... Perform quality control and validation of spatial data * Support ongoing GIS operations, data ...

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

As of Jul 22, 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.
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What states have the most Freelance Spatial Data Analyst jobs? States with the most job openings for Freelance Spatial Data Analyst jobs include:
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Freelance Spatial Data Analyst jobs near you
Infographic showing various Freelance Spatial Data Analyst job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.

Data Analyst

Houston Galveston Area Council

Houston, TX • On-site

$60K - $75K/yr

Full-time

Re-posted 6 days ago

Job description

The Houston-Galveston Area Council is one of the largest regional planning commissions in the country with a diverse service area of 13 counties and more than7million people. We are the pulse of our region addressing issues that cross city limits and county lines every single day.
We make decisions that affect our transportation system, ensure the safety and well-being of our seniors, connect people to jobs, help families recover from natural disasters, preserve water quality for our children, and so much more. We work to make the region a great place to live, work, and thrive.
Job Duties:
  • Support regional planning efforts through advanced land use modeling, data analysis, and forecasting.
  • Apply strong analytical and programming skills to evaluate demographic, economic, and geographic trends that inform long-term planning in transportation, land use, environmental sustainability, and economic development.
  • Apply advanced knowledge in economics, statistics, and data science to develop forecasting models and simulations that guide policy and project development.
  • Manage and analyze large datasets, build scenario-based models, and communicate findings through technical reports and visualizations, demonstrating excellent written and verbal communication skills.
  • Develop and maintain land use forecasting models using SAS and Python, incorporating time-series and spatial analysis techniques to support scenario planning.
  • Conduct simulations to evaluate future land use patterns based on socioeconomic trends and policy drivers.
  • Collect, clean, and validate demographic, economic, and geographic data from public and private sources.
  • Ensure transparency and reproducibility by maintaining data dictionaries and process documentation.
  • Perform quality assurance checks to ensure accuracy of datasets and models, produce technical outputs such as reports and dashboards, and support internal and external stakeholders in interpreting model results.
  • Respond to data requests related to population, employment, and land use from local governments, research institutions, consultants, and the public, and serve as the primary contact for external data inquiries.
  • Present technical concepts clearly to non-technical audience.

Key Qualifications
Do you have...
  • Minimum Education Requirement: Bachelor's degree in Urban Planning, Economics, Mathematics, Statistics, Data Science, or a related field.
  • Minimum Experience Requirement: 36 months of experience developing forecasting models, conducting statistical and spatial analysis, and managing complex datasets, including experience applying proficiency in SAS, and experience in land use modeling, simulation, or scenario analysis.

All employees of H-GAC are required to reside within the agency's region of service to support our commitment to excellence in service of our region.
H-GAC is an equal opportunity/ADA employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, or protected veteran status.

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