1

Senior Spatial Data Analyst Jobs in Texas (NOW HIRING)

... 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 ...

... 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 ...

Experience with GIS tools and spatial data analysis. * Understanding of data governance and compliance requirements. What We Offer: * Competitive salary and benefits package. * Opportunity to work on ...

Data Analyst

Dallas, TX ยท On-site

Experience with GIS tools and spatial data analysis. * Understanding of data governance and compliance requirements. What We Offer: * Competitive salary and benefits package. * Opportunity to work on ...

Experience with GIS tools and spatial data analysis. * Understanding of data governance and compliance requirements. What We Offer: * Competitive salary and benefits package. * Opportunity to work on ...

Experience with GIS tools and spatial data analysis. * Understanding of data governance and compliance requirements. What We Offer: * Competitive salary and benefits package. * Opportunity to work on ...

... 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 ...

Data Analyst

Houston, TX ยท 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 ...

GIS Analyst

Houston, TX

$73K - $174K/yr

Perform spatial analysis, geoprocessing, and data validation. * Create maps, dashboards, and geospatial visualizations. * Conduct spatial operations such as joins, overlays, buffering, and network ...

Senior Data Analyst

Lubbock, TX ยท On-site

$60K - $80K/yr

The Senior Data Analyst plays a critical role in advancing these efforts by transforming complex data into clear, accurate, and actionable insights that support business and operational teams.

Senior Data Analyst

San Marcos, TX ยท On-site

$6.8K/wk

Posting Information Posting Information Posting Number 2026635 Posting/Functional Title Senior Data Analyst University Pay Plan Title Sr Data Analyst Location San Marcos Department Associate Provost ...

Data Analyst Senior

Dallas, TX ยท On-site +1

$107K - $155K/yr

The Data Analyst Senior cleans up data for analysis and/or visual display in a report or dashboard, or they work out details regarding data access to support a project. Our Data Analysts favorite ...

GeoBase Senior GIS Analyst will be part of a dynamic fast-paced team supporting United States ... Migrate or convert legacy GIS, CAD, non-spatial, and tabular data to GeoBase standards * Maintain ...

GeoBase Senior GIS Analyst will be part of a dynamic fast-paced team supporting United States ... Migrate or convert legacy GIS, CAD, non-spatial, and tabular data to GeoBase standards * Maintain ...

next page

Showing results 1-20

Senior Spatial Data Analyst information

How does a Senior Spatial Data Analyst typically collaborate with other teams within an organization?

Senior Spatial Data Analysts often work closely with multidisciplinary teams, such as GIS specialists, data engineers, urban planners, and decision-makers, to translate spatial data into actionable insights. Collaboration usually involves gathering project requirements, sharing spatial analyses, and presenting findings in clear visual formats. Analysts may also be called upon to provide technical expertise during project planning sessions and to support colleagues in understanding how spatial data can inform business strategies. This collaborative environment not only enhances project outcomes but also encourages continuous professional growth through knowledge sharing.

What are Senior Spatial Data Analysts?

Senior Spatial Data Analysts are experienced professionals who specialize in analyzing and interpreting spatial or geographic data using tools such as Geographic Information Systems (GIS). They manage large datasets, perform spatial modeling, and generate maps or visualizations to support decision-making in various industries such as urban planning, environmental science, and logistics. Senior analysts often lead projects, mentor junior staff, and develop methodologies to solve complex spatial problems. Their expertise is crucial for organizations that rely on accurate geographic data to make strategic decisions.

What is the difference between Senior Spatial Data Analyst vs GIS Analyst?

AspectSenior Spatial Data AnalystGIS Analyst
Required CredentialsBachelor's or Master's in Geography, GIS, or related field; experience in spatial analysisBachelor's in Geography, GIS, or related field; some roles may require certifications
Work EnvironmentAdvanced projects, data management, and analysis; often in urban planning, environmental, or government sectorsData mapping, GIS software operation, and spatial data visualization in various industries
Employer & Industry UsageGovernment agencies, environmental firms, urban planning departmentsMunicipalities, consulting firms, environmental agencies

The Senior Spatial Data Analyst typically handles complex spatial data analysis, project leadership, and data management, often requiring more experience and advanced skills than a GIS Analyst. While both roles work with GIS software and spatial data, the Senior role involves higher-level decision-making and project oversight.

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

To thrive as a Senior Spatial Data Analyst, you need advanced expertise in GIS, spatial data analysis, and data management, typically supported by a relevant degree in geography, computer science, or a related field. Mastery of GIS software (such as ArcGIS or QGIS), programming languages (like Python or R), and familiarity with spatial databases are essential, along with certifications like GISP being advantageous. Strong problem-solving, attention to detail, and effective communication help you interpret complex data and convey insights to stakeholders. These skills ensure accurate spatial analysis, support strategic decision-making, and drive project success in data-driven environments.
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:
What are popular job titles related to Senior Spatial Data Analyst jobs in Texas? For Senior Spatial Data Analyst jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Senior Spatial Data Analyst jobs in Texas look for? The top searched job categories for Senior Spatial Data Analyst jobs in Texas are:
What cities in Texas are hiring for Senior Spatial Data Analyst jobs? Cities in Texas with the most Senior Spatial Data Analyst job openings:
Infographic showing various Senior Spatial Data Analyst job openings in Texas as of July 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution.

$116K - $157K/yr

Other

Posted 8 days ago


Job description

MUST HAVE SKILLS (Most Important):
Bachelor's degree in computer science, Engineering, or related field.
We are seeking a skilled Python Developer with expertise in PostgreSQL database management, spatial data handling, and multiprocessing solutions.
- Proven experience (8 years) in Python development, with a focus on data processing and analysis of spatial data.
- Strong proficiency in PostgreSQL database management, including schema design, query optimization, and performance tuning.
- Experience working with spatial data formats (e.g., GeoJSON, Shapefiles) and libraries (e.g., GeoPandas, Shapely).
- Familiarity with multiprocessing techniques and libraries (e.g., multiprocessing, concurrent. futures) for parallel processing.
- Excellent problem-solving skills and ability to work effectively in a fast-paced, collaborative environment.
- Strong communication skills and ability to articulate technical concepts to non-technical stakeholders.
Responsibilities:
- Design, develop, and maintain Python-based applications and tools for spatial data analysis and visualization.
- Implement and optimize PostgreSQL database schemas, queries, and performance tuning for spatial data management.
- Develop multiprocessing solutions to enhance data processing efficiency and scalability.
- Collaborate with cross-functional teams to understand requirements and deliver robust, scalable solutions.
- Stay updated on industry trends and emerging technologies in spatial data analysis, Python development, and database management.