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Senior Spatial Data Analyst Jobs (NOW HIRING)

Responds to ad-hoc spatial data or analysis requests * Trains other team members on spatial data model and processes as needed * Participates in agile teams, collects/reviews user stories, extracts ...

Responds to ad-hoc spatial data or analysis requests * Trains other team members on spatial data model and processes as needed * Participates in agile teams, collects/reviews user stories, extracts ...

Senior Data Analyst

Tysons Corner, VA

$86.60K - $109.20K/yr

Conduct spatial data analysis using GIS software (ArcGIS) * Clean and preprocess data, handling inconsistencies and outliers using tools like SQL and Excel to prepare it for analysis. * Design and ...

The Senior GIS Analyst will manage and analyze spatial data, develop GIS applications, and deliver insights to support business and project decision-making. Responsibilities : โ€ข Manage and analyze ...

New

Data Analyst, Senior

Atlanta, GA ยท On-site +1

$64.67K - $87.30K/yr

... Senior Data Analyst to help power the data infrastructure, analysis, and storytelling that drive ... Design and maintain spatial databases; produce thematic maps, geocoded datasets, raster analyses ...

Senior Data Analyst

Vienna, VA

$86.30K - $108.90K/yr

Conduct spatial data analysis using GIS software (ArcGIS) * Clean and preprocess data, handling inconsistencies and outliers using tools like SQL and Excel to prepare it for analysis. * Design and ...

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 ...

Job Title Spatial Data Manager, Global Summary The Spatial Data Administrator uses CAD and other ... Generates needed reports and analysis on Space * Manages and reports space allocation data ...

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Senior Spatial Data Analyst information

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$55K

$99.2K

$135.5K

How much do senior spatial data analyst jobs pay per year?

As of May 30, 2026, the average yearly pay for senior spatial data analyst in the United States is $99,231.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,000.00 and $108,500.00 per year, depending on experience, location, and employer.

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.

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 cities are hiring for Senior Spatial Data Analyst jobs? Cities with the most Senior Spatial Data Analyst job openings:
What are the most commonly searched types of Spatial Data Analyst jobs? The most popular types of Spatial Data Analyst jobs are:
What states have the most Senior Spatial Data Analyst jobs? States with the most job openings for Senior Spatial Data Analyst jobs include:
Data Warehousing Specialist

Data Warehousing Specialist

Agelix Consulting

Lakewood, CO โ€ข On-site

Full-time

Posted 26 days ago


Job description

Job Summary for Senior Spatial Data Warehousing Specialist
- Lead the design, development, and implementation of data warehouses and data lakes, including geospatial and alphanumeric data.
- Integrate, consolidate, and geospatially enable data to support mapping, reporting, geospatial analysis, and self-service business intelligence (BI) needs.
- Utilize a variety of data warehousing tools and techniques, including traditional and modern data stack approaches, specifically for spatial data.
- Collaborate with project team members and leadership through effective task planning, project management, and coordination.
- Develop proof of concept and prototype reports, dashboards, and maps to help users visualize and analyze warehouse data.
- Support end users in mapping, reporting, and BI activities by publishing and maintaining accessible and reliable data sources.
- Apply advanced data analysis and data presentation skills to demonstrate the business value of spatial data environments.
- Bring at least 5 years of experience in building data warehouses (with spatial data) and developing data visualizations such as dashboards, reports, and maps.