ZipRecruiter

Log In

1

Internship Spatial Data Analyst Jobs (NOW HIRING)

City of Philadelphia

Lead GIS Analyst

Philadelphia, PA · On-site

The analyst will take on projects to extract, evaluate, and visualize spatial and non-spatial data for business intelligence purposes and program performance measurement by departments. This will ...

Bart & Associates

Geospatial Data Analyst

Mclean, VA · On-site

$75K - $82K/yr

... spatial data workflows using FME to transform, validate, automate, and integrate geospatial information from multiple sources. · Use QGIS to perform spatial analysis, create maps, manage geospatial ...

Bart and Associates, Inc

Geospatial Data Analyst

Mclean, VA · On-site

$75K - $82K/yr

... spatial data workflows using FME to transform, validate, automate, and integrate geospatial information from multiple sources. • Use QGIS to perform spatial analysis, create maps, manage geospatial ...

ConnectPrep

Data Analyst Internship

Washington, DC · On-site +1

We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary role, both instructional and technical. You'll engage with our team of educators to validate and ...

ConnectPrep

Data Analyst Internship

Washington, DC · On-site +1

We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary role, both instructional and technical. You'll engage with our team of educators to validate 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 ...

ConnectPrep

Data Analyst Internship

Washington, DC · Remote

We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary role, both instructional and technical. You'll engage with our team of educators to validate and ...

previous page

Showing results 41-60

All Jobsinternship JobsTechnology JobsData JobsBusiness Intelligence Analyst JobsInternship Spatial Data Analyst Jobs

Internship Spatial Data Analyst information

See salary details

$12

$22

$42

How much do internship spatial data analyst jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for internship spatial data analyst in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

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.

More about Internship Spatial Data Analyst jobs

What cities are hiring for Internship Spatial Data Analyst jobs?

Cities with the most Internship 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 Internship Spatial Data Analyst jobs?

States with the most job openings for Internship Spatial Data Analyst jobs include:

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

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

Internship Spatial Data Analyst jobs near you
Infographic showing various Internship 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 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Sr Python Developer

Texas State Library and Archives Commision

Irving, TX • On-site

$116K - $157K/yr

Other

Re-posted 18 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.

Apply