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Data Analytics Intern Jobs in Minnesota (NOW HIRING)

Finance Intern

Hopkins, MN · On-site

$18 - $23.75/hr

Leading analysis of financial transaction data supporting Distribution fees claims to identify key drivers and trends, including geographic-specific trends, policy and/or customer-specific trends ...

Marketing Intern

Mankato, MN · On-site

$16 - $18/hr

The Tailwind Group Summer Intern Program allows students or recent grads to gain real world ... Ability to analyze performance data and identify opportunities for improvement. To learn more about ...

Marketing Intern

Mankato, MN · On-site

$16 - $18/hr

The Tailwind Group Summer Intern Program allows students or recent grads to gain real world ... Ability to analyze performance data and identify opportunities for improvement. To learn more about ...

The Tailwind Group Summer Intern Program allows students or recent grads to gain real world ... Ability to analyze performance data and identify opportunities for improvement. To learn more about ...

The Tailwind Group Summer Intern Program allows students or recent grads to gain real world ... Ability to analyze performance data and identify opportunities for improvement. To learn more about ...

Supply Chain Intern Department: Engineering Department Primary Objective of Position: The Supply ... analyze slow-moving inventory, identify root causes of obsolescence, and propose data-driven ...

As an Intern, you will: * Assist with the detail work of audits, reviews, compilations, and other ... Collect and analyze data to detect deficient controls, duplicated efforts, fraud, or non-compliance ...

As an Intern, you will: * Assist with the detail work of audits, reviews, compilations, and other ... Collect and analyze data to detect deficient controls, duplicated efforts, fraud, or non-compliance ...

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Data Analytics Intern information

See Minnesota salary details

$11

$22

$41

How much do data analytics intern jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for data analytics intern in Minnesota is $22.04, according to ZipRecruiter salary data. Most workers in this role earn between $16.97 and $24.04 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Analytics Intern, and why are they important?

To thrive as a Data Analytics Intern, you need a solid understanding of statistics, data analysis, and proficiency in programming languages like Python or R, often supported by coursework in mathematics, computer science, or related fields. Familiarity with data visualization tools (such as Tableau or Power BI), SQL databases, and spreadsheet software is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and present findings clearly. These skills are crucial for drawing meaningful insights from data and supporting decision-making processes within an organization.

What are the big 4 internships?

The Big 4 internships typically refer to summer internship programs at Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms offer internships in areas like audit, consulting, tax, and advisory, providing valuable experience for aspiring professionals in fields such as data analytics, accounting, and finance.

What are some common challenges Data Analytics Interns face during their internship, and how can they overcome them?

Data Analytics Interns often encounter challenges such as working with large and complex datasets, learning new analytical tools and programming languages on the job, and translating data findings into actionable insights for non-technical stakeholders. To overcome these challenges, interns should proactively seek guidance from mentors, take advantage of available training resources, and communicate regularly with team members to clarify project goals. Developing strong problem-solving skills and being open to feedback also helps interns grow and succeed in the role.

What does a Data Analytics Intern do?

A Data Analytics Intern assists in collecting, processing, and analyzing data to help organizations make informed decisions. They typically work with tools like Excel, SQL, and data visualization software to identify trends, create reports, and support business objectives. Interns often collaborate with data analysts and other team members to gain practical experience and develop their technical skills. Their work may involve cleaning datasets, running basic analyses, and presenting findings to stakeholders.

What is the difference between Data Analytics Intern vs Data Analyst?

AspectData Analytics InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some certifications
Work EnvironmentInternship programs, entry-level tasks, supervisedFull-time, independent project work, more responsibility
Employer & Industry UsageInternships in various industries, training rolesFull-time roles across industries like finance, tech, healthcare
Common Search & Comparison IntentUnderstanding entry-level opportunities, learning rolesCareer progression, skill development, salary expectations

The main difference between a Data Analytics Intern and a Data Analyst lies in experience, responsibilities, and employment status. Interns are typically students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling complex data projects. Internships serve as training grounds, whereas Data Analysts are expected to independently analyze data and contribute to decision-making processes.

How to get a data analyst intern?

To become a data analyst intern, candidates should develop skills in data analysis tools like Excel, SQL, or Python, and build a strong understanding of statistics and data visualization. Gaining relevant experience through coursework, projects, or certifications can improve chances, and applying to internships through company career portals or job boards is essential. Strong communication skills and a willingness to learn are also important for securing an internship in this field.

What does a data analyst intern do?

A data analyst intern assists in collecting, cleaning, and analyzing data to identify trends and support decision-making. They often use tools like Excel, SQL, or Python and work under supervision to develop reports and visualizations that help organizations understand their data.

Is AI replacing data analysts?

AI tools are automating certain tasks in data analysis, such as data cleaning and basic reporting, but data analysts are still essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking and domain knowledge that AI cannot fully replicate, making the profession unlikely to be fully replaced by AI in the near future.
What are the most commonly searched types of Data Analytics jobs in Minnesota? The most popular types of Data Analytics jobs in Minnesota are:
What cities in Minnesota are hiring for Data Analytics Intern jobs? Cities in Minnesota with the most Data Analytics Intern job openings:
Infographic showing various Data Analytics Intern job openings in Minnesota as of June 2026, with employment types broken down into 1% Internship, 93% Full Time, 2% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $45,845 per year, or $22 per hour.
MN AI Hub Data Engineering Intern

MN AI Hub Data Engineering Intern

University of St Thomas

Saint Paul, MN

$25/hr

Other

Posted 7 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

220th of 539 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 optimizationWhat 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 skillsPreferred 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. 

Employment Type: OTHER