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Internship Spatial Data Analyst Jobs in Center Line, MI

Stellantis

Plant Financial Analyst

Detroit, MI · On-site

Cost Deployment responsibilities including data collection and CD development matrices * Logistics ... or internship) in a manufacturing environment * Proficient in SAP and Hyperion Essbase and ...

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Internship Spatial Data Analyst information

See Center Line, MI salary details

$11

$21

$39

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

As of Sep 2, 2026, the average hourly pay for internship spatial data analyst in Center Line, MI is $21.14, according to ZipRecruiter salary data. Most workers in this role earn between $16.25 and $23.03 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 job categories do people searching Internship Spatial Data Analyst jobs in Center Line, MI look for?

The top searched job categories for Internship Spatial Data Analyst jobs in Center Line, MI are:

What cities near Center Line, MI are hiring for Internship Spatial Data Analyst jobs?

Cities near Center Line, MI with the most Internship Spatial Data Analyst job openings:

Internship Spatial Data Analyst jobs near you
Infographic showing various Internship Spatial Data Analyst job openings in Center Line, MI as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $43,965 per year, or $21.1 per hour.

Business Intelligence Data Scientist

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 8 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

13th of 45 rated automakers

Job description

Stellantis is seeking a highly skilled Business Intelligence Data Scientist to support advanced analytics within the Business Intelligence and Data Analytics team at the Headquarters & Technology Center in Auburn Hills, Michigan. This role is responsible for applying advanced analytical techniques to large and complex datasets in order to generate actionable insights that inform business decisions related to warranty, cost, quality performance, and operational effectiveness.
The Data Scientist will work with a variety of internal data sources to develop analytical solutions, perform deep exploratory analysis, and support predictive, diagnostic, and prescriptive analytics efforts. The role requires strong analytical thinking, statistical expertise, and the ability to clearly communicate findings to both technical and non-technical stakeholders.
The successful candidate will collaborate closely with Engineering, Quality, Finance, and IT partners and operate with a high degree of independence in a fast-paced, data-driven environment.
Key Responsibilities:
  • Analyze large, complex datasets to identify trends, relationships, risks, and opportunities related to warranty and quality performance
  • Develop and apply advanced statistical, analytical, and data science techniques to support business problem-solving and decision-making
  • Perform exploratory data analysis and root-cause investigations to explain performance drivers and anomalies
  • Design, develop, and maintain robust analytical models, metrics, and methodologies
  • Translate complex analytical results into clear insights, recommendations, and visualizations for stakeholders
  • Partner with cross-functional teams to understand business needs and deliver analytical solutions
  • Ensure analytical outputs are accurate, repeatable, and well-documented
  • Support continuous improvement of analytics processes, tools, and data usage practices
  • Contribute to the development of standardized reporting, metrics, and best practices across the organization

Basic Qualifications:
  • Bachelor's degree in a quantitative discipline such as Data Science, Statistics, Computer Science, Applied Mathematics, or a related field
  • Relevant internship experience
  • Demonstrated ability to communicate analytical findings clearly to technical and non-technical audiences
  • Excellent problem-solving, organizational, and time-management skills
  • Ability to work independently with minimal supervision

Preferred Qualifications:
  • Master's degree in a quantitative discipline
  • Experience applying predictive, diagnostic, or prescriptive analytics techniques in a business environment
  • Familiarity with data visualization and business intelligence tools (e.g., Power BI, Tableau)
  • Experience working in automotive, manufacturing, quality, or operational analytics environments
  • Experience with working across multiple deployment environments including cloud, on-premises and hybrid, using multiple operating systems
  • Experience translating complex data into clear narratives for leadership decision-making

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