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Internship Spatial Data Analyst Jobs in Colorado

Perform spatial analysis, data validation, and quality control to support project requirements * Create maps, figures, dashboards, web maps, and other geospatial deliverables for technical and non ...

... planning studies, spatial data display, research and preparation of plans on resiliency ... Must have 3-4 years of professional experience (internship experience is applicable); * Candidates ...

Analyze spatial data for geographic statistics to incorporate into documents and reports. Use ... Must have 3-4 years of professional experience (internship experience is applicable); * Candidates ...

Perform spatial analysis, data validation, and quality control to support project requirements * Create maps, figures, dashboards, web maps, and other geospatial deliverables for technical and non ...

The GIS Analyst develops, maintains, analyzes, and quality-controls geospatial data, maps ... Spatial Data Legal Disclaimer: All qualified applicants will receive consideration for employment ...

Spatial data visualization: build interactive maps and views that make complex geospatial data ... analysis, information technology, resource management, conservation, and management and business ...

TypeScript Developer

Boulder, CO · On-site

$100 - $140/hr

Spatial data visualization: build interactive maps and views that make complex geospatial data ... analysis, information technology, resource management, conservation, and management and business ...

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Internship Spatial Data Analyst information

What does an internship spatial data analyst do?

An Internship Spatial Data Analyst assists in collecting, analyzing, and visualizing geospatial data using tools such as GIS (Geographic Information Systems). Their responsibilities may include mapping locations, interpreting spatial patterns, and supporting senior analysts in projects related to urban planning, environmental monitoring, or logistics. Interns often work with large datasets, learn to use specialized software, and contribute to reports and presentations. This role helps interns develop technical skills and gain practical experience in spatial data analysis.

What types of projects can an internship spatial data analyst expect to work on, and how do these contribute to the organization's goals?

As an Internship Spatial Data Analyst, you can expect to work on projects involving data collection, cleaning, and visualization of geographic information using GIS tools and software. Typical tasks may include analyzing spatial patterns, creating maps for internal or client use, and assisting with data-driven decision-making processes. These projects are vital for supporting urban planning, environmental monitoring, or business logistics, depending on the organization's focus. Your work will often be collaborative, requiring regular communication with senior analysts, project managers, and sometimes field teams to ensure data accuracy and project alignment.

What are the key skills and qualifications needed to thrive as an internship spatial data analyst, and why are they important?

To thrive as an Internship Spatial Data Analyst, you need foundational knowledge in geographic information systems (GIS), spatial data analysis, and a relevant academic background such as geography, environmental science, or computer science. Familiarity with technical tools like ArcGIS, QGIS, and basic programming languages (e.g., Python or R) is typically required. Strong problem-solving skills, attention to detail, and effective communication help you interpret data and present findings clearly. These skills are vital for accurately analyzing spatial data and supporting data-driven decision-making in various projects.

What is the difference between Internship Spatial Data Analyst vs Junior Spatial Data Analyst?

AspectInternship Spatial Data AnalystJunior Spatial Data Analyst
Required CredentialsEnrolled in or recent graduate of related degreeBachelor's degree in GIS, Geography, or related field
Work EnvironmentInternship, supervised, learning-focusedEntry-level professional, more independent tasks
Employer & Industry UsageInternship programs in GIS, urban planning, environmental firmsEntry-level roles in similar industries
Search & Comparison IntentUnderstanding internship opportunitiesClarifying entry-level job roles

The main difference is that an Internship Spatial Data Analyst is a temporary, learning-focused position for students or recent graduates, while a Junior Spatial Data Analyst is an entry-level professional role with more responsibilities and independence. Internships are ideal for gaining experience, whereas junior roles involve applying skills in real projects.

What are the most commonly searched types of Spatial Data Analyst jobs in Colorado?

The most popular types of Spatial Data Analyst jobs in Colorado are:

What are popular job titles related to Internship Spatial Data Analyst jobs in Colorado?

For Internship Spatial Data Analyst jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Internship Spatial Data Analyst jobs in Colorado look for?

The top searched job categories for Internship Spatial Data Analyst jobs in Colorado are:

What cities in Colorado are hiring for Internship Spatial Data Analyst jobs?

Cities in Colorado with the most Internship Spatial Data Analyst job openings:

Infographic showing various Internship Spatial Data Analyst job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Warehousing Specialist

Agelix Consulting

Lakewood, CO • On-site

Full-time

Re-posted 24 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.