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Python Data Analysis Internship Jobs in East Lansing, MI

SQL, Python, R, Java Other Technologies, Concepts and Frameworks: TOGAF, Data Lake, Delta Lake ... and architecting Data, Analytics, and ML Products that are aligned with the enterprise data ...

SQL, Python, R, Java * Other Technologies, Concepts and Frameworks: TOGAF, Data Lake, Delta Lake ... Collaborate with engineering, analytics, security, and business teams to translate strategic needs ...

Data Engineer

Lansing, MI ยท On-site

$116K - $139K/yr

Work you'll do/Responsibilities As part of the Data & Analytics Foundry you will support numerous ... Build reusable Python components for ingestion, validation, and transformations; enforce standards ...

... and architects Data, Analytics, and ML Products aligned with enterprise data strategy, data ... SQL, Python, R, Java Other Technologies/Concepts/Frameworks: TOGAF, Data Lake, Delta Lake, NoSQL DB ...

... and architects Data, Analytics, and ML Products aligned with enterprise data strategy, data ... SQL, Python, R, Java Other Technologies/Concepts/Frameworks: TOGAF, Data Lake, Delta Lake, NoSQL DB ...

Data Warehouse Architect

Lansing, MI ยท On-site

$150 - $200/hr

... and architects Data, Analytics, and ML Products aligned with enterprise data strategy, data ... SQL, Python, R, Java Other Technologies/Concepts/Frameworks: TOGAF, Data Lake, Delta Lake, NoSQL DB ...

New

... and architects Data, Analytics, and ML Products aligned with enterprise data strategy, data ... SQL, Python, R, Java Other Technologies/Concepts/Frameworks: TOGAF, Data Lake, Delta Lake, NoSQL DB ...

Data Warehouse Architect - (Local to MI)

Lansing, MI ยท On-site

$64.75 - $83.25/hr

SQL, Python, R, Java Other Technologies, Concepts and Frameworks: TOGAF, Data Lake, Delta Lake ... and architecting Data, Analytics, and ML Products that are aligned with the enterprise data ...

Showing results 21-40

Python Data Analysis Internship information

See East Lansing, MI salary details

$11

$21

$39

How much do python data analysis internship jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for python data analysis internship in East Lansing, MI is $21.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.39 and $23.22 per hour, depending on experience, location, and employer.

What is a Python data analysis internship?

A Python Data Analysis Internship is a temporary position, often for students or recent graduates, that provides hands-on experience in analyzing data using the Python programming language. Interns typically assist with collecting, cleaning, and interpreting large datasets, using Python libraries such as pandas, NumPy, and matplotlib. The internship is designed to help participants develop practical skills in data manipulation, statistical analysis, and data visualization. It is a great way to gain real-world experience in data science and analytics while building a professional network.

What are the key skills and qualifications needed to thrive as a Python data analysis intern?

To thrive as a Python Data Analysis Intern, you need a solid understanding of statistics, data manipulation, and Python programming, often supported by relevant coursework or projects. Familiarity with tools such as pandas, NumPy, Jupyter Notebook, and data visualization libraries like matplotlib or seaborn is typically required. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and share insights clearly with team members. These skills enable interns to extract actionable insights from complex datasets and effectively contribute to data-driven decision making.

What types of projects and tasks can I expect to work on during a Python data analysis internship?

As a Python Data Analysis intern, you can typically expect to work on projects involving data collection, cleaning, and exploration using Python libraries such as Pandas and NumPy. Your daily tasks may include writing scripts to automate data processing, creating visualizations with tools like Matplotlib or Seaborn, and assisting in preparing reports or presentations based on your findings. Interns often collaborate with data scientists, analysts, and sometimes other departments to support ongoing projects and gain exposure to real-world data challenges. This hands-on experience is valuable for building both technical skills and an understanding of how data-driven decisions are made in a professional environment.

What is the difference between Python Data Analysis Internship vs Data Analyst?

AspectPython Data Analysis InternshipData Analyst
Required SkillsPython, data analysis, basic statisticsData analysis, SQL, Excel, Python (optional)
Work EnvironmentInternship setting, learning-focusedFull-time or part-time professional role
Experience LevelEntry-level, internshipEntry to mid-level professional
Industry UsageInternship programs, entry rolesBusiness, finance, tech, healthcare

While a Python Data Analysis Internship focuses on gaining hands-on experience with Python and data analysis tools in an internship setting, a Data Analyst role involves applying these skills professionally to analyze data, generate reports, and support decision-making in various industries.

What job categories do people searching Python Data Analysis Internship jobs in East Lansing, MI look for?

The top searched job categories for Python Data Analysis Internship jobs in East Lansing, MI are:

What cities near East Lansing, MI are hiring for Python Data Analysis Internship jobs?

Cities near East Lansing, MI with the most Python Data Analysis Internship job openings:

Data Platform / Data Warehouse Architect

TechVirtue LLC

Lansing, MI โ€ข On-site

$64.75 - $83.25/hr

Other

Posted 4 days ago


Job description

Job Title: Data Platform / Data Warehouse Architect
Location: Lansing, MI
Duration: Long Term Contract
 
Job Description:
Data Platform Architect / Datawarehouse Architect (Level 5) excels in tracking emerging industry capabilities for modern Enterprise Data Platform (EDP), developing target state Data Platform Architecture, and architecting Data, Analytics, and ML Products that are aligned with the enterprise data strategy, data landscape, data skills, data security, and data sharing needs to support the realization of enterprise Business Strategy outcomes with the following track record:
Must have a BS in Computer Science / Data Science / Information Systems or a related CS degree with an overall 5+ years of experience in developing Enterprise Data Technology Strategies, articulating the use of the Data Engineering Delivery Methodologies, building the Data Engineering Standards & Best Practices to ensure alignment of Data/Analytics/ML Products with the Target State Architecture, and promoting the use of the Data Engineering products in the community of Users using industry standard Enterprise Architecture frameworks such as TOGAF, FEAF, DODAF etc.
 
Roles and Responsibilities:
Designs, implements, and supports data warehouse and analytics platform modernization initiatives. 
Oversees the organizational sustainability of data warehouse and data analytics process improvement. The Data Platform Architectโ€™s responsibilities include:
Design and maintain the overall architecture for enterprise data platforms, ensuring scalability, reliability, and alignment with business objectives.
Oversee the implementation of modern data platform components, such as storage, streaming, and orchestration services, and ensure they function cohesively.
Establish governance frameworks for data quality, security, metadata management, and compliance with organizational and regulatory requirements.
Collaborate with engineering, analytics, security, and business teams to translate strategic needs into technical solutions and roadmap initiatives.
Responsible for selection of appropriate hardware, software, tools and system lifecycle techniques for different components of data warehouse architecture including ETL, Metadata, data profiling software, performance monitoring, reporting and analytic tools.
 
Required Skills (Must haves):
Minimum 5 yearsโ€™ experience in leading Data Architects and working with Enterprise Architects to develop Data Landscape, Data Strategy, Data Architectural approaches using any industry standard Architecture framework such as TOGAF 9, FEAF, DODAF etc. to align data landscape with business, application and technology landscapes of an enterprise to support the implementation of data-driven business strategy.
Minimum of 5 yearsโ€™ experience in developing Reference Architectures, Architecture Patterns Library, conducting Architectural Reviews to identify exceptions, and managing the architectural exceptions to ensure architectural integrity of Enterprise Data Platform in a large enterprise.
Minimum of 3 yearsโ€™ experience in driving RFP process of selecting Data Platform Technologies, partnering with vendors to codevelop innovative EDP capabilities, driving EDP innovation, and promoting data-driven decision-making culture in the enterprise through Communities of Practice etc.
Must have a BS in Computer Science / Data Science / Information Systems or a related CS degree
 
Most Preferred Skills
Experience with Data Lake, Delta Lake, EDP, Data Warehousing, and Databricks
 
Other Preferred Skills:
Key Programming Languages: SQL, Python, R, Java
Other Technologies, Concepts and Frameworks: TOGAF, Data Lake, Delta Lake, NoSQL DB, GraphDB, EDP, Data Warehousing, Data Marts, Databricks, Operational Data Stores, Power BI, Tableau