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# Data Analyst

- **Company:** Houston-Galveston Area Council
- **Location:** Houston, TX, United States
- **Experience:** Experienced
- **Salary:** $60,000.0 - $75,000.0
- **Contract:** Permanent contract
- **Skills:** Geographic Information Systems, Data Analysis, Big Data, Computer Programming, Data Dictionary, Python (Programming Language), SAS (Software)
- **Published:** June 14, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=973d0d2774ff54a7

## About the Role

Do you have experience in Urban planning GIS projects?, Do you have a Bachelor's degree?, * 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.

## Description

* 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.


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