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Learning Analytics Internship Jobs in Minnesota (NOW HIRING)

Interns work alongside AV team members on meaningful projects involving cutting-edge technology ... Perform data analysis tasks using AV tools and industry-standard platforms. * Help manage project ...

Interns work alongside AV team members on meaningful projects involving cutting-edge technology ... Perform data analysis tasks using AV tools and industry-standard platforms. * Help manage project ...

$40/hr

... and Analytics organization. This is an excellent opportunity to gain hands-on experience in the ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

$40/hr

... and Analytics organization. This is an excellent opportunity to gain hands-on experience in the ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

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Learning Analytics Internship information

What is a learning analytics internship?

A Learning Analytics Internship is a temporary position where students or recent graduates work with educational data to analyze and improve learning outcomes. Interns typically collect, process, and interpret data from educational platforms or classrooms to identify patterns and provide insights for educators or administrators. This role often involves using data analysis tools and working closely with instructional designers or educational researchers. The internship provides hands-on experience in the field of educational data science and helps interns build skills in research, analytics, and educational technology.

What are the key skills and qualifications needed to thrive as a learning analytics intern?

To thrive as a Learning Analytics Intern, you need a solid background in data analysis, statistics, and educational theory, often supported by coursework in data science or education technology. Proficiency with data visualization tools (like Tableau), statistical software (such as R or Python), and familiarity with learning management systems (LMS) is typically required. Strong communication, problem-solving abilities, and attention to detail help you translate data insights into actionable recommendations for educational improvement. These skills are crucial for effectively leveraging data to enhance learning outcomes and support evidence-based decision-making in educational environments.

What types of projects can I expect to work on during a learning analytics internship?

As a Learning Analytics Intern, you can expect to work on projects that involve collecting, analyzing, and interpreting data related to student learning and educational outcomes. Typical tasks may include designing dashboards to visualize learning trends, conducting data cleaning and preparation, and supporting the evaluation of digital learning tools. You may also collaborate with instructional designers, data scientists, and educators to identify actionable insights that can improve teaching strategies or learner engagement. This hands-on experience provides valuable exposure to both educational technology and data analytics, preparing you for future roles in the field.

What is the difference between Learning Analytics Internship vs Data Analyst Internship?

AspectLearning Analytics InternshipData Analyst Internship
Required CredentialsRelevant coursework in education, data analysis, or related fields; basic technical skillsDegree in statistics, mathematics, or related fields; proficiency in data tools
Work EnvironmentEducational institutions, e-learning companies, or edtech startupsVarious industries including finance, healthcare, marketing, and tech
Employer & Industry UsageFocus on improving learning outcomes and educational dataAnalyzing data to support business decisions across sectors

Learning Analytics Internships primarily focus on analyzing educational data to enhance learning experiences, often within educational or edtech organizations. Data Analyst Internships have a broader scope, applying data analysis skills across multiple industries. While both roles require analytical skills and some technical knowledge, Learning Analytics Interns typically work in educational settings, whereas Data Analyst Interns may work in diverse sectors.

Data Science Intern - Summer 2027

Lakeville, MN • On-site

Post Consumer Brands
Manufacturing • 1 - 5K employees

Temporary, Internship

Posted 8 days ago


Post Consumer Brands rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz


Job description

Business Unit Overview

Headquartered in Lakeville, Minn., Post Consumer Brands, a business unit of Post Holdings, Inc., is dedicated to providing people and their pets with delicious food choices for every taste and budget. The company's portfolio includes beloved brands such as Honey Bunches of Oats™, PEBBLES™, Grape-Nuts™ and Malt-O-Meal™ cereal and Peter Pan™ peanut butter, as well as Rachael Ray® Nutrish™, Kibbles 'n Bits™ and 9Lives™ dog and cat food. Post also provides private label solutions to customers in pet food, cereal, nut butters and granola. As a company committed to high standards of quality and to our values, we are driven by one idea: To make lives better by making delicious food accessible for all. For more information about our brands, visit www.postconsumerbrands.com and follow us on LinkedIn or Facebook for the latest news.


Location Description

Post Consumer Brands corporate headquarters in Lakeville, Minnesota, is about 20 miles south of Minneapolis and St. Paul, Lakeville has all the benefits of smaller town living with access to everything a large metropolitan area has to offer. Join more than 400 team members collaborating on the two-building campus to help put breakfast on the tables of millions of consumers in North America. 


Responsibilities

Launch Your Data Science Career at Post Consumer Brands


Interested in machine learning, analytics, artificial intelligence, or data-driven problem solving? Join Post Consumer Brands as a Data Science Intern for a 12-week summer experience designed to provide meaningful work, professional development, and hands-on exposure to enterprise data science and analytics solutions.


As a Data Science Intern, you'll work alongside experienced data professionals to uncover insights, solve business challenges, and develop analytics solutions that drive decision-making across the organization. You'll gain experience with technologies including Python, Snowflake, Snowpark ML, Snowflake Cortex, dbt, SQL, and data visualization tools while contributing to projects that create real business value.

What You'll Do


Depending on business needs and your interests, you may have opportunities to:

  • Develop and enhance machine learning and statistical models.
  • Analyze enterprise data to identify trends, opportunities, and insights.
  • Create dashboards, visualizations, and analytical tools for business stakeholders.
  • Partner with cross-functional teams to solve complex business challenges.
  • Support the development of scalable analytics and data science solutions.

Potential Project Opportunities

  • Build, test, and optimize machine learning models.
  • Engineer new features and data sets to improve model performance.
  • Evaluate internal and external data sources for new analytics opportunities.
  • Conduct analyses to address key business questions and strategic initiatives.
  • Develop dashboards and visualizations that communicate actionable insights.
  • Use Python, SQL, and modern analytics tools to generate recommendations.


Specific assignments will be determined prior to the internship based on business needs and intern interests.

Why Intern at Post?

  • Work on projects that have a real impact on business decisions.
  • Participate in professional development, networking, and social events.
  • Build relationships with leaders, mentors, and fellow interns.
  • Gain hands-on experience with machine learning, analytics, and cloud-based data platforms.
  • Present your work and recommendations to key stakeholders.
  • Develop skills that can help launch a future career with Post Consumer Brands.

Qualifications

What We're Looking For

  • Pursuing a bachelor's or master's degree in Data Science, Statistics, Mathematics, Computer Science, Analytics, Engineering, or a related field, with an expected graduation date between December 2027 and August 2028.
  • Strong analytical, problem-solving, and communication skills, with a natural curiosity to understand the "why" behind business challenges.
  • Experience with Python, R, SQL, or similar analytical tools, along with familiarity with Power BI, Tableau, Excel, or other data visualization platforms.
  • Understanding of statistical modeling, machine learning, or predictive analytics concepts.
  • Ability to work independently and collaborate effectively within a team environment.
  • Must be authorized to work in the United States without current or future visa sponsorship.

Preferred

  • Previous internship, work, leadership, research, or project experience.
  • Experience with platforms such as Snowflake, Databricks, Hadoop, or similar technologies.
  • Interest in the consumer packaged goods or manufacturing industry and a desire to explore career opportunities with Post Consumer Brands after graduation.

Internship Perks

  • Competitive pay and starting bonus
  • Professional development, networking, and social events
  • Exposure to leaders across the organization
  • Free cereal, oatmeal, coffee, milk, and snacks

Past interns have developed machine learning models, uncovered actionable business insights, and applied advanced analytics to solve real-world business challenges.

Compensation for this role is $25.00 per hour.

This role will be posted until October 4, 2026.

Qualifications:

What We're Looking For

  • Pursuing a bachelor's or master's degree in Data Science, Statistics, Mathematics, Computer Science, Analytics, Engineering, or a related field, with an expected graduation date between December 2027 and August 2028.
  • Strong analytical, problem-solving, and communication skills, with a natural curiosity to understand the "why" behind business challenges.
  • Experience with Python, R, SQL, or similar analytical tools, along with familiarity with Power BI, Tableau, Excel, or other data visualization platforms.
  • Understanding of statistical modeling, machine learning, or predictive analytics concepts.
  • Ability to work independently and collaborate effectively within a team environment.
  • Must be authorized to work in the United States without current or future visa sponsorship.

Preferred

  • Previous internship, work, leadership, research, or project experience.
  • Experience with platforms such as Snowflake, Databricks, Hadoop, or similar technologies.
  • Interest in the consumer packaged goods or manufacturing industry and a desire to explore career opportunities with Post Consumer Brands after graduation.

Internship Perks

  • Competitive pay and starting bonus
  • Professional development, networking, and social events
  • Exposure to leaders across the organization
  • Free cereal, oatmeal, coffee, milk, and snacks

Past interns have developed machine learning models, uncovered actionable business insights, and applied advanced analytics to solve real-world business challenges.

Compensation for this role is $25.00 per hour.

This role will be posted until October 4, 2026.

Education:UNAVAILABLEEmployment Type: INTERN

What Post Consumer Brands employees say

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Benefits

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