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Internship Spatial Data Analyst Jobs in Alabama (NOW HIRING)

... data analysis, visualization, and statistical methods for interpreting system trends, behaviors, and test results Strong math/physics background: probability, statistics, linear algebra, spatial and ...

New

Systems Analyst

Huntsville, AL · On-site

$130K - $145K/yr

... data analysis, visualization, and statistical methods for interpreting system trends, behaviors, and test results • Strong math/physics background: probability, statistics, linear algebra, spatial ...

Fall 2026 Internship - Social Impact

Montevallo, AL · On-site +1

$14.75 - $19/hr

This is an unpaid, for college credit internship. Candidates must be eligible to receive college ... Contribute to research and data analysis efforts * Deliver against administrative tasks and ...

Internship Location: Main Office Reporting To: GIS Supervisor Description Collecting, verifying ... Collect high-accuracy GPS/GNSS data for utility infrastructure including gas, water, wastewater ...

Analyst

Montgomery, AL · 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 ...

Showing results 41-60

Internship Spatial Data Analyst information

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 Alabama?

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

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

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

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

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

Infographic showing various Internship Spatial Data Analyst job openings in Alabama as of July 2026, with employment types broken down into 70% Full Time, 6% Part Time, and 24% Contract. Highlights an 61% Physical, 5% Hybrid, and 34% Remote job distribution.

Track Server Analyst Lead with Security Clearance

Insight Global, Inc.

Huntsville, AL • On-site

Other

Posted 5 days ago


Job description

• Company: Northrop Grumman
• Location: 1200 Redstone Gateway SW, Huntsville, AL 35808
• Duration: long term, ongoing contract – we are a direct sub to the C2BMC program
• Clearance: Secret, will hold TS if you already have it • Program – C2BMC "Essential Functions:
• Will coordinate Track Server analysis and behavior for various internal and external stakeholders, as well as coordinate analysis efforts within the Track Server team
• Perform analysis, root-cause troubleshooting, scenario support, and behavior assessments of C2BMC Track Server software across development, ground testing, and operations
• Use automated tools and apply manual techniques to analyze software capabilities and behaviors in an integrated environment
• Interface with cross-functional teams and Subject Matter Experts to define analytical approaches, set up scenarios, assist with anomaly resolution, and deliver actionable insights to customers and stakeholders Basic Qualifications:
Please list your current security clearance and IAT or relevant certifications on your resume, if applicable.
• A Bachelor’s Degree in Computer Science, Software Engineering, Mathematics, Physics, or a related field from an accredited university, along with 8 years of experience; or a Master’s degree in a related field with 6 years of relevant work experience; or 12 years of relevant work experience may be considered as an alternative to a degree
• Applicants must have a current, active in-scope DoD-issued Secret security clearance at the time of application, which is required to start
• Proven experience producing analytical reports on complex systems and algorithms (performance, behavior, and functionality)
• Ability to use MATLAB or a comparable language (e.g., Python) for prototyping, data visualization, scripting, data manipulation, and parsing
• Ability to use spreadsheets, databases, and/or Linux command-line tools for hands-on data analysis and verification
• Experience with statistical methods, time-series analysis, and data visualization to identify trends, patterns, and anomalies
• Excellent analytical abilities and the ability to clearly present complex technical concepts to engineers, stakeholders, and customers
• Understanding of systems and software engineering processes, principles, and lifecycles
• Excellent problem-solving and analytical skills, with the ability to communicate complex technical concepts clearly
• Self-motivated and collaborative; thrives in a fast-paced environment and can switch between high-priority tasks Preferred Qualifications:
• Background in missile defense battle management, IR/RF sensor tracking, intercept engagements, space domain awareness, or command and control systems
• Proficiency in data analysis, visualization, and statistical methods to interpret system trends, behaviors, and test results
• Strong math/physics background: probability, statistics, linear algebra, spatial & timing reference frames
• Experience working in Agile Scrum environments utilizing JIRA and Confluence
• Experience with automated analysis and assessment in software applications/systems
• Ability to create analysis tools and parsers using MATLAB, Bash, Java, Python (or similar)
• Experience with object-oriented coding, SQL queries, regular expressions, reading Java code, and using Git/GitLab CI/CD pipelines
• Ability to read and understand Java, C, or C++ code"