Data Analyst

Houston-Galveston Area Council • Houston, TX

4d • Onsite

About The Position

The Houston-Galveston Area Council (H-GAC) is seeking a Data Analyst to support regional planning efforts through advanced land use modeling, data analysis, and forecasting. This role involves applying 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. The analyst will use advanced knowledge in economics, statistics, and data science to develop forecasting models and simulations that guide policy and project development. Responsibilities include managing and analyzing large datasets, building scenario-based models, and communicating findings through technical reports and visualizations. The position requires excellent written and verbal communication skills, with the ability to present technical concepts clearly to non-technical audiences. The analyst will also be the primary contact for external data inquiries and will be required to reside within the agency's region of service.

Requirements

• Bachelor’s degree in Urban Planning, Economics, Mathematics, Statistics, Data Science, or a related field.
• 36 months of experience developing forecasting models.
• 36 months of experience conducting statistical and spatial analysis.
• 36 months of experience managing complex datasets.
• Proficiency in SAS.
• Experience in land use modeling, simulation, or scenario analysis.

Nice To Haves

• Experience with Python.

Responsibilities

• 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.
• 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.
• 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.
• Serve as the primary contact for external data inquiries.
• Present technical concepts clearly to non-technical audience.

Benefits

• Equal Opportunity/ADA Employer

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level