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Senior Spatial Data Analyst Jobs (NOW HIRING)

Delan Associates, Inc

Sr. Data Scientist

Juno Beach, FL · On-site

The Senior Data Scientist - Geospatial serves as a technical leader responsible for designing and ... This role leads complex spatial analytics efforts, mentors lessexperienced data scientists, and ...

Aiken County (SC)

GeoServices Senior Analyst

Aiken, SC

$47K - $54K/yr

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 ...

Atlanta Regional

Data Analyst, Principal

Atlanta, GA · On-site +1

$69K - $93K/yr

... spatial economic modeling projects. • Collaborate with planning, transportation, natural ... to data and analysis requests from internal teams, local governments, partner agencies, and the ...

VHB

Senior Transportation Data Analyst

Manhattan, NY · On-site

$125K - $155K/yr

NYC or New Jersey Are you a dedicated Senior Transportation Data Analyst looking to make a ... Working with large spatial and non-spatial datasets, API's, web services, cloud data platforms

VHB

Senior Transportation Data Analyst

Newark, NJ · On-site

$125K - $155K/yr

NYC or New Jersey Are you a dedicated Senior Transportation Data Analyst looking to make a ... Working with large spatial and non-spatial datasets, API's, web services, cloud data platforms

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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 Aug 25, 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 is a senior spatial data analyst?

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.

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 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 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.

More about Senior Spatial Data Analyst jobs

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Senior Spatial Data Analyst jobs near you
Infographic showing various Senior Spatial Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $99,231 per year, or $47.7 per hour.

Sr. Data Scientist

Juno Beach, FL • On-site

Delan Associates, Inc
51 - 200 employees
Learn more about Delan Associates, Incexternal

Contractor

Posted 14 days ago

Job description

Job Description:

The Senior Data Scientist - Geospatial serves as a technical leader responsible for designing and delivering advanced analytical and modeling solutions using geospatial data. This role leads complex spatial analytics efforts, mentors lessexperienced data scientists, and collaborates with GIS teams and business leaders to translate geospatial data into actionable insights. The position requires deep expertise in data science techniques and handson experience with spatial analytics at scale

Responsibilities:

  • This position leads the design and development of scalable GIS tools, analytical applications, spatial data products, and reusable geoprocessing capabilities that support complex business and operational needs.
  • Responsibilities include establishing technical standards and development frameworks; guiding the architecture of enterprise geospatial solutions; developing and overseeing spatial data pipelines, APIs, and automation workflows; and integrating GIS capabilities with cloud platforms, enterprise data systems, and AI services.
  • Candidates should hold an advanced degree, with at least 6-8 years of experience in data science and a preference for data science in GIS during the last 4 years.
  • Extensive experience developing production-grade analytical tools and applications, and a strong track record of delivering enterprise-level business impact.
  • Preferred qualifications include significant experience developing GIS tools and applications using Esri technologies such as ArcGIS Pro, ArcGIS Enterprise, ArcGIS Online, ArcPy, the ArcGIS API for Python, ArcGIS REST APIs, and ArcGIS Maps SDKs.

Experience developing custom geoprocessing tools, Python toolboxes, web-based mapping applications, dashboards, widgets, extensions, and automated spatial analysis workflows is highly valued.

Employment Type: CONTRACTOR

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