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Spatial Data Analyst Jobs in Texas (NOW HIRING)

H-GAC

Data Analyst

Houston, TX

... and spatial analysis techniques to support scenario planning. * Conduct simulations to evaluate ... Collect, clean, and validate demographic, economic, and geographic data from public and private ...

New

Permian Resources

GIS Platform Analyst

Midland, TX

... 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 ...

Permian Resources

GIS Platform Analyst

Midland, TX · On-site

... 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 ...

Gulf Companies

GIS ANALYST II

Houston, TX · On-site

The role involves gathering, creating, converting, and analyzing spatial data to support ongoing projects and integrate necessary information with the GIS system. Responsibilities : • Lead GIS ...

GDH

GIS ETL Developer

Plano, TX · Hybrid

$55 - $60/hr

Perform spatial data analysis, validation, and troubleshooting to maintain database accuracy and reliability. * Write and optimize PL/SQL scripts for database management and data manipulation tasks.

Diamondbackenergy

Senior GIS Analyst

Dallas, TX

... spatial data needs of the organization. The Senior GISAnalystis expected to perform a variety of ... Design and process queries to extract, manipulate and analyze data * Assistwith special projects ...

Staffingine LLC

Drone Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Data Pipelines Analytics Enablement * Build and manage drone data ingestion pipelines batch nearrealtime * Normalize and enrich drone datasets with spatial temporal and asset metadata * Enable ...

City of Amarillo Texas

GIS ANALYST I

Amarillo, TX · On-site

$20.68 - $30.91/hr

None STARTING PAY: $20.68 TO $30.91 DOQ SUMMARY As a GIS Analyst I, you'll help maintain and improve the City's maps and spatial data, ensuring it's accurate, usable, and up to date within ...

Southwest Water Company

GIS Analyst

Sugar Land, TX · On-site

Use ESRI ArcGIS tools to edit, manage, and analyze spatial data related to utility assets (pipes ... valves, hydrants, easements, etc.) * Support data migration activities and maintain GIS metadata ...

Diamondbackenergy

Senior GIS Analyst

Midland, TX

... spatial data needs of the organization. The Senior GISAnalystis expected to perform a variety of ... Design and process queries to extract, manipulate and analyze data * Assistwith special projects ...

SouthWest Water Company

GIS Analyst

Sugar Land, TX

Use ESRI ArcGIS tools to edit, manage, and analyze spatial data related to utility assets (pipes ... valves, hydrants, easements, etc.) * Support data migration activities and maintain GIS metadata ...

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Spatial Data Analyst information

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How much do spatial data analyst jobs pay per year?

As of Jun 14, 2026, the average yearly pay for spatial data analyst in Texas is $76,992.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,200.00 and $90,400.00 per year, depending on experience, location, and employer.

What are some typical projects or tasks a Spatial Data Analyst might work on?

Spatial Data Analysts often work on a variety of projects involving the collection, management, and analysis of geographic data, such as mapping environmental patterns, optimizing logistics routes, or supporting urban planning initiatives. On a daily basis, they may clean and process datasets, generate detailed maps, create visualizations and reports, and provide insights to inform project decisions. Collaboration with engineers, urban planners, environmental scientists, and IT professionals is common, making teamwork and clear communication essential. These tasks are integral to helping organizations make data-driven decisions that rely on spatial information.

What does a Spatial Data Analyst do?

A Spatial Data Analyst collects, analyzes, and interprets geographic and spatial data to support decision-making in various industries. They use Geographic Information Systems (GIS) and other analytical tools to visualize patterns, create maps, and develop models based on spatial data. Their work helps businesses, governments, and organizations optimize operations, plan infrastructure, and manage resources effectively.

What is the top GIS salary?

The highest GIS salaries for experienced Spatial Data Analysts can exceed $100,000 annually, especially in high-demand industries or regions with a strong tech or government presence. Salaries vary based on experience, certifications, and technical skills such as proficiency in ArcGIS or QGIS, with senior roles and specialized expertise commanding the top pay.

Is GIS a high demand job?

GIS (Geographic Information Systems) and spatial data analyst roles are in high demand across industries such as urban planning, environmental management, and transportation due to the increasing reliance on spatial data for decision-making. These jobs often require proficiency in GIS software like ArcGIS or QGIS and relevant certifications, with employment opportunities expected to grow as data-driven approaches expand.

Will GIS be overtaken by AI?

GIS (Geographic Information Systems) professionals, including Spatial Data Analysts, use AI to enhance data processing, pattern recognition, and predictive modeling. While AI automates certain tasks, GIS skills remain essential for interpreting spatial data, designing workflows, and ensuring data accuracy, making AI a complementary tool rather than a replacement.

What are the key skills and qualifications needed to thrive in the Spatial Data Analyst position, and why are they important?

To thrive as a Spatial Data Analyst, you need strong skills in GIS (Geographic Information Systems), spatial data analysis, database management, and a solid understanding of geography or related fields, often supported by a relevant degree. Familiarity with tools like ArcGIS, QGIS, SQL, Python, and sometimes certifications such as GISP are highly valuable. Attention to detail, problem-solving abilities, and effective communication enhance collaboration with teams and stakeholders. These competencies ensure accurate spatial analysis, meaningful data-driven insights, and effective decision-making in diverse industries.

What is a spatial data analyst?

A spatial data analyst is a professional who collects, analyzes, and interprets geographic data to support decision-making. They often use GIS (Geographic Information Systems) tools and spatial analysis techniques to visualize patterns and solve location-based problems.
What are the most commonly searched types of Spatial Data Analyst jobs in Texas? The most popular types of Spatial Data Analyst jobs in Texas are:
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Spatial Data Analyst jobs near you

Data Analyst

H-GAC

Houston, TX

Full-time

Posted 23 hours 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. 

Employment Type: Full time

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