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Internship Spatial Data Analyst Jobs in Edgewood, MD

Internship experience in related field * Passion for investing * Strong knowledge of fundamental investing, finance, accounting and quantitative analysis * Proficient at data analysis and strong ...

Data Scientist

Woodlawn, MD · On-site +1

$102K - $133K/yr

Conducts analyses using tools and programming languages such as Excel, SQL, Enterprise Data ... Interns) are not eligible for consideration. HOW TO QUALIFY : Eligible applicants must meet the ...

... or data analytics, preferably with exposure to AI/machine learning initiatives and revenue/expense management. Open to recent graduates with relevant coursework and/or internship experience.

Senior Scientist

Baltimore, MD · On-site

$90K - $124K/yr

... data analysis support for genomic and genetics experiments conducted by NIA research staff. * Organize, validate, and process samples for microarray, next-generation sequencing, spatial ...

Senior Scientist

Baltimore, MD · On-site

$90K - $124K/yr

... data analysis support for genomic and genetics experiments conducted by NIA research staff. * Organize, validate, and process samples for microarray, next-generation sequencing, spatial ...

Our immersive internship is designed to build your analytical, strategic, and communication skills ... By collaborating with colleagues across the firm, you'll learn how to harness data to inform ...

Showing results 21-40

Internship Spatial Data Analyst information

See Edgewood, MD salary details

$11

$22

$41

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

As of Aug 20, 2026, the average hourly pay for internship spatial data analyst in Edgewood, MD is $22.15, according to ZipRecruiter salary data. Most workers in this role earn between $17.02 and $24.13 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.

What cities near Edgewood, MD are hiring for Internship Spatial Data Analyst jobs?

Cities near Edgewood, MD with the most Internship Spatial Data Analyst job openings:

Infographic showing various Internship Spatial Data Analyst job openings in Edgewood, MD as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $46,073 per year, or $22.2 per hour.

Investment Analyst

T Rowe Price

Baltimore, MD • Hybrid

Full-time

Re-posted 7 days ago


T. Rowe Price rating

9.1

Company rating: 9.1 out of 10

Based on 21 frontline employees who took The Breakroom Quiz


Job description

Role Summary

The investment analyst will research investment opportunities through the integration of quantitative methods and techniques with fundamental insights and data.

Responsibilities

  • Research investment opportunities
  • Collaborate with other teams and Portfolio Managers via internal meetings

Qualifications

Required:

  • MBA or at least 3 years of research experience

Preferred:

  • Quantitative or analytical background
  • Internship experience in related field
  • Passion for investing
  • Strong knowledge of fundamental investing, finance, accounting and quantitative analysis
  • Proficient at data analysis and strong programming skills
  • Intellectual curiosity and strong analytic and problem-solving skills
  • Attention to detail and accuracy coupled with sound judgment
  • Highly motivated self-starter with the ability to work collaboratively
  • Ability to work both independently and as part of a larger team

FINRA Requirements

FINRA licenses are not required and will not be supported for this role.

Work Flexibility

This role is eligible for hybrid work, with up to one day per week from home.


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