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Internship Python Analyst Jobs in Minnesota (NOW HIRING)

Experience through internships, project work, research, consulting, product, design, technology ... Basic data analysis skills using Excel, Power BI, SQL, Python, or similar tools * Experience with ...

Experience through internships, project work, research, consulting, product, design, technology ... Basic data analysis skills using Excel, Power BI, SQL, Python, or similar tools * Experience with ...

Software Engineer - Hybrid

Rochester, MN · Hybrid

$102K - $143K/yr

Experience with Python programming language. Experience in databases, analytics, big data systems ... Working knowledge and experience of Software Engineering with a minimum of internships and a ...

Working knowledge and experience of Software Engineering with a minimum of internships and a ... Experience with Python programming language. Experience in databases, analytics, big data systems ...

Working knowledge and experience of Software Engineering with a minimum of internships and a ... Experience with Python programming language. Experience in databases, analytics, big data systems ...

... internships and undergraduate research count). * Strong analytical skills and scientific curiosity ... Proficiency in Microsoft Excel; working familiarity with Python and/or R for data handling.

Research interns will work directly with faculty on sponsored research initiatives, including ... Support data collection, analysis, and visualization for ongoing research projects QUALIFICATIONS

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Internship Python Analyst information

What is an Internship Python Analyst?

An Internship Python Analyst is a student or recent graduate who assists in analyzing data, developing scripts, and creating software solutions using the Python programming language. Their role typically involves working with data sets, automating tasks, and supporting more experienced analysts or developers. These internships provide hands-on experience in coding, problem-solving, and applying analytical skills to real-world business or research problems. It’s a great opportunity to learn industry practices and gain practical exposure to Python programming.

What are the key skills and qualifications needed to thrive as an Internship Python Analyst, and why are they important?

To thrive as an Internship Python Analyst, you need a solid understanding of Python programming, data analysis principles, and foundational knowledge in statistics or computer science. Familiarity with tools such as Jupyter Notebook, pandas, NumPy, and version control systems like Git is commonly required. Attention to detail, eagerness to learn, and strong problem-solving and communication skills help you stand out in this role. These skills and qualities are crucial for efficiently analyzing data, collaborating with teams, and contributing meaningful insights during the internship.

What types of projects and tasks can I expect to work on as an Internship Python Analyst?

As an Internship Python Analyst, you'll typically work on data analysis projects, automating routine tasks, and assisting with the development of scripts or small applications using Python. You may collaborate with data scientists, analysts, and software engineers to clean and process datasets, generate reports, or support ongoing research. Interns often have the opportunity to contribute to real-world business problems while learning best practices in coding, documentation, and teamwork in a professional environment.

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

AspectInternship Python AnalystData Analyst Intern
Required SkillsPython, SQL, data manipulationExcel, SQL, basic statistics
Work EnvironmentTech companies, data-driven teamsBusiness, marketing, finance sectors
CertificationsPython certifications, data analysis coursesExcel certifications, basic analytics courses

Internship Python Analysts focus on coding, data processing, and automation using Python, often in tech environments. Data Analyst Interns typically work with Excel and SQL to interpret data for business insights. Both roles are entry-level, but the Python Analyst role emphasizes programming skills, while Data Analyst Interns focus more on data visualization and reporting. The choice depends on your technical skills and career interests in data analysis or programming.

MN AI Hub Data Engineering Intern

MN AI Hub Data Engineering Intern

University of St Thomas

Saint Paul, MN • On-site

$25/hr

Other

Posted 28 days ago


University Of St. Thomas (Minnesota) rating

7.7

Company rating: 7.7 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

228th of 555 rated colleges and universities


Job description

OVERVIEW
Job Title: MN AI Hub Data Engineering Intern
Location:St. Paul
Pay Rate: $25/per hour
Hours: Up to 20 hours a week.
The Minnesota Semiconductor AI Hub is a collaborative initiative between the University of St. Thomas College of Engineering and local semiconductor manufacturing companies, including Seagate, SkyWater Technology, and Polar Semiconductor. The Hub focuses on developing data-driven and AI-powered solutions to shared manufacturing challenges with the goal of advancing capabilities that benefit the broader Minnesota semiconductor industry.
The Hub is seeking two highly motivated students pursuing a Master's degree in the College of Engineering @ St Thomas in Data Science, Software Engineering, Electrical & Computer Engineering or Artificial Intelligence with a tentative graduation date of May 2027 or beyond to join as Data Engineering Interns working 20 hrs/week. You will work alongside faculty researchers and graduate students on applied projects with direct relevance to partner company operations. This is a hands-on opportunity to contribute to real engineering problems at the intersection of artificial intelligence and semiconductor manufacturing.
Our Data Engineering Interns will support data pipeline development, reporting modernization, and advanced analytics initiatives across factory and operational systems. This position will be based out of St Paul Campus but occasionally may require travel to our industry partner location in the Twin Cities.
Key Responsibilities
- Assist in maintaining data pipelines (Oracle, Postgres, Hive etc.) and resolving issues. Includes troubleshooting packages and tracing data pipelines.
- Support data integration for reporting tools such as Power BI and Tableau
- Help automate workflows using modern tools (e.g., Python, SQL, GenAI tools)
- Support data validation, troubleshooting, and performance optimization
What You Will Gain
- Hands-on experience with enterprise-scale data systems
- Exposure to real-world data engineering challenges in a manufacturing environment
- Opportunity to contribute to high-impact projects
- Mentorship from faculty and experienced data engineering professionals
QUALIFICATIONS
Required Qualifications
- Currently pursuing a Master's degree in the College of Engineering @ St Thomas in Data Science, Software Engineering, Electrical & Computer Engineering or Artificial Intelligence with a tentative graduation date of May 2027 or beyond (we are looking for someone who is at least available both Fall 2026 and Spring 2027 semesters)
- Strong SQL skills and understanding of relational and NoSQL databases
- Basic programming experience in Python or similar language
- Familiarity with data structures and ETL concepts
- Strong analytical and problem-solving skills
Preferred Qualifications
- Experience with Power BI, Tableau, or similar visualization tools
- Knowledge of cloud platforms or modern data tools
- Exposure to manufacturing or operational datasets
- Interest in automation, AI, or GenAI-based tooling
In your cover letter please specify your familiarity with the tools, programming languages and other skills listed under the Required and Preferred Qualifications.

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