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Python Data Analysis Internship Jobs in East Lansing, MI

Develop and optimize complex SQL and BTEQ scripts for Teradata 20 , supporting large-scale data integrations and analytics workloads. Create automation scripts using Python , Shell scripting , and ...

Data Engineer

Okemos, MI ยท On-site

$103K - $124K/yr

The ideal candidate should have a minimum of 3 years of experience with excellent analytical ... PL/SQL, Python, T-SQL, StreamSets, Snowflake Cloud Data Platform, and Informatica PowerCenter ...

Preference for students who have completed 3+ years of coursework by the internship start date * Experience with object-oriented programming (e.g., C#, Java, Python, C++) * Strong analytical and ...

Use Python and XML to automate processes, perform data transformations, and integrate automation ... Collaborate with data architects, analysts, DBAs, and business users to ensure successful and ...

Data Scientist

Lansing, MI ยท On-site

  • Retirement

  • PTO

Conduct ad-hoc analysis and present results clearly at multiple-levels of stakeholders through ... Experience with common data science toolkits, such as R, Python, TensorFlow, SQL, Scikit-learn ...

Data Scientist

Lansing, MI ยท On-site

  • Retirement

  • PTO

Conduct ad-hoc analysis and present results clearly at multiple-levels of stakeholders through ... Experience with common data science toolkits, such as R, Python, TensorFlow, SQL, Scikit-learn ...

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

Showing results 41-60

Python Data Analysis Internship information

See East Lansing, MI salary details

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

As of Aug 17, 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 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 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 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 Warehouse Architect 5

HireITPeople

Lansing, MI โ€ข On-site

Contractor

Posted 24 days ago


Job description

Data Warehouse Architect 5, IBM DataStage, IBM Cloud Pak for Data (CP4D), Teradata 20, SQL/BTEQ, Unix/Linux scripting, Advanced SQL, ETL support.

Resource will be working a hybrid schedule. NO REMOTE ONLY OPTION. Position will be hybrid, in office 2 days a week upon start,  Wednesday and Thursday are required on-site days and cannot be altered.

Key Responsibilities:   Design, build, enhance, and optimize ETL pipelines using IBM DataStage (parallel/server jobs, performance tuning, job sequencing).  Support the migration of DataStage workloads from on‑premise environments to IBM Cloud Pak for Data (CP4D), including refactoring, modernization, testing, and validation.  Develop and optimize complex SQL and BTEQ scripts for Teradata 20, supporting large-scale data integrations and analytics workloads. Create automation scripts using PythonShell scripting, and XML for ETL workflows and data processing. Apply Master Data Management (MDM) and data governance principles to ensure consistency, quality, and reliability across systems. Work collaboratively with MDHHS data architects, DBAs, analysts, business owners, and technical teams to align deliverables with program objectives.  Conduct troubleshooting, root‑cause analysis, and remediation activities for ETL pipeline issues. Support Agile delivery, including sprint participation, documentation, testing, and continuous improvement activities.

Required Skills:

-1+ years of hands-on experience with IBM Cloud Pak for Data (CP4D).

-3+ years of strong experience with Teradata 20, including SQL/BTEQ, performance optimization, and working with large enterprise datasets.

-5+ of Unix/Linux scripting and system operations

– 3 + years of Advanced SQL for analysis and ETL support

Preferred Skills:  Public health, Health Industry, or State Government experience.