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Internship Spatial Data Analyst Jobs in Portland, ME

Analyst

Auburn, ME · On-site

$112K/yr

We prefer students who have completed at least one internship in business, economics, data analysis, or similarly relevant work. Cornerstone Research will provide H-1B, H-1B1, E3 and TN visa support ...

New

We prefer students who have completed at least one internship in business, economics, data analysis, or similarly relevant work. Cornerstone Research will provide H-1B, H-1B1, E3 and TN visa support ...

New

Analyst

South Portland, ME · On-site

$112K/yr

We prefer students who have completed at least one internship in business, economics, data analysis, or similarly relevant work. Cornerstone Research will provide H-1B, H-1B1, E3 and TN visa support ...

New

We prefer students who have completed at least one internship in business, economics, data analysis, or similarly relevant work. Cornerstone Research will provide H-1B, H-1B1, E3 and TN visa support ...

New

We prefer students who have completed at least one internship in business, economics, data analysis, or similarly relevant work. Cornerstone Research will provide H-1B, H-1B1, E3 and TN visa support ...

New

We prefer students who have completed at least one internship in business, economics, data analysis, or similarly relevant work. Cornerstone Research will provide H-1B, H-1B1, E3 and TN visa support ...

New

Analyst

Biddeford, ME · On-site

$112K/yr

We prefer students who have completed at least one internship in business, economics, data analysis, or similarly relevant work. Cornerstone Research will provide H-1B, H-1B1, E3 and TN visa support ...

New

Analyst

Portland, ME · On-site

$112K/yr

We prefer students who have completed at least one internship in business, economics, data analysis, or similarly relevant work. Cornerstone Research will provide H-1B, H-1B1, E3 and TN visa support ...

New

Showing results 21-40

Internship Spatial Data Analyst information

See Portland, ME salary details

$12

$23

$43

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

As of Aug 6, 2026, the average hourly pay for internship spatial data analyst in Portland, ME is $23.02, according to ZipRecruiter salary data. Most workers in this role earn between $17.69 and $25.10 per hour, depending on experience, location, and employer.

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 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 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 are the most commonly searched types of Spatial Data Analyst jobs in Portland, ME? The most popular types of Spatial Data Analyst jobs in Portland, ME are:
What are popular job titles related to Internship Spatial Data Analyst jobs in Portland, ME? For Internship Spatial Data Analyst jobs in Portland, ME, the most frequently searched job titles are:
What job categories do people searching Internship Spatial Data Analyst jobs in Portland, ME look for? The top searched job categories for Internship Spatial Data Analyst jobs in Portland, ME are:

$45 - $48/hr

Other

Medical, Life

Posted 28 days ago


Job description

Job Description Hybrid -Westbrook, ME Job Description: The Machine Intelligence team in R&D is looking for an entry-level Data Scientist to develop machine learning solutions for the hematology analyzers. In this role, you will work on classification and clustering problems on tabular data, with solutions deployed on edge hardware in our analyzer platforms. You will work under the supervision of a senior data scientist who will guide your technical development and project execution.

We are looking for a curious, adaptable team player eager to build foundational skills in applied machine learning. What you can expect: Develop classification and clustering models on tabular data to support hematology analyzer capabilities Contribute to model development, evaluation, and iteration under the guidance of a senior data scientist Partner with senior team members to understand requirements, explore data, and validate model performance Document your work clearly so it can be reviewed, reproduced, and built upon by the team Deploy your solutions to edge hardware What you need to succeed: 0-2 years of experience applying machine learning to real-world problems (internships, research, and coursework projects count) Strong working knowledge of Python and common data science libraries (pandas, scikit-learn, NumPy) Solid foundation in statistics, machine learning, and algorithms Demonstrated understanding of classification and clustering methods for tabular data, including when to apply which approach and how to evaluate results Curiosity about the data and the underlying generating processes - a habit of asking "why" before reaching for a model A growth mindset and willingness to learn from more senior team members Ability to communicate analyses and results clearly to your immediate team Bachelor's degree in a quantitative field (statistics, computer science, math, engineering, or related); advanced degree a plus Nice to have: Exposure to deploying ML models on resource-constrained or edge hardware Familiarity with model optimization techniques (quantization, ONNX, TFLite) Experience with version control (Git) and collaborative software development practices Experience modeling data for medical, diagnostic or life sciences applications