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Data Analytics Fall Internship information

See Michigan salary details

$10

$19

$36

How much do data analytics fall internship jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for data analytics fall internship in Michigan is $19.61, according to ZipRecruiter salary data. Most workers in this role earn between $15.10 and $21.39 per hour, depending on experience, location, and employer.

What types of projects or tasks are typically assigned to Data Analytics Fall Interns?

As a Data Analytics Fall Intern, you can expect to work on real data projects such as cleaning large datasets, creating dashboards, generating reports, and performing exploratory data analysis under the guidance of experienced analysts. You might also assist in identifying trends, building simple predictive models, and preparing visualizations for presentations to stakeholders. Interns often work closely with team members from various departments, providing support for ongoing initiatives and contributing fresh perspectives. These hands-on tasks are designed to build your technical skills and give you direct experience solving business problems with data.

What is a Data Analytics Fall Internship job?

A Data Analytics Fall Internship is a short-term position, typically during the fall semester, where interns gain hands-on experience analyzing data to provide insights for a company. Interns work with tools like Excel, SQL, Python, or Tableau to clean, process, and visualize data. They may assist in reporting, dashboard creation, or identifying trends to support business decisions. This role helps build practical skills and industry experience in data analysis.

What are the key skills and qualifications needed to thrive in the Data Analytics Fall Internship position, and why are they important?

To thrive as a Data Analytics Fall Intern, you need a solid foundation in statistics, data analysis, and proficiency with tools like Excel, Python, or R, often supported by coursework in computer science, mathematics, or related fields. Familiarity with data visualization software such as Tableau or Power BI, as well as basic knowledge of SQL, is commonly expected. Strong communication skills, attention to detail, and the ability to work collaboratively in a team make candidates stand out. These skills are crucial for analyzing real-world data, delivering actionable insights, and contributing effectively to projects in a professional environment.

What are popular job titles related to Data Analytics Fall Internship jobs in Michigan? For Data Analytics Fall Internship jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Analytics Fall Internship jobs in Michigan look for? The top searched job categories for Data Analytics Fall Internship jobs in Michigan are:
What cities in Michigan are hiring for Data Analytics Fall Internship jobs? Cities in Michigan with the most Data Analytics Fall Internship job openings:
Data Analytics Fall Internship jobs near you
Data Integration Intern

Data Integration Intern

Upper Peninsula Health Plan

Marquette, MI • On-site

Full-time

Posted 10 days ago

Job description

*2026 Fall Internship, beginning August 2026 for 16 weeks/20 hours per week*DATE:  June 16, 2026POSITION: Data Integration InternDEPARTMENT: UPHCS-UPHIEPOSITION SUMMARY: 
The Data Integration Intern supports Upper Peninsula Health Care Solutions (UPHCS) and Upper Peninsula Health Information Exchange (UPHIE) health IT projects and initiatives and assists on the integration and transmission of data. The Data Integration Intern will work with internal and external stakeholders to support client initiatives and achieve our overall mission of improving health in the communities we serve.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
1. Follows established Upper Peninsula Health Plan (UPHP) policies and procedures, objectives, safety standards, and sensitivity to confidential information.
 
2. Works with internal stakeholders and external partners to acquire data from primary or secondary data sources and maintain reporting databases and data systems.
 
3. Performs data mapping, data conversion, data quality assurance, and data set creation using internal and external data sources.
 
4. Develops solutions to a variety of technical problems of moderate scope and complexity.
 
5. Creates process documentation for technical use cases, including but not limited to client workflow and gap analysis, process improvement, data flow diagrams, standard operating procedures, and end-user guides.
 
6. Receives, generates, cleans, and parses large CSV files to meet conformance standards and requirements outlined by client and internal processes.
 
7. Maintains and enhances Node.js applications by troubleshooting issues, and implements new features in alignment with business requirements and coding best practices.
 
8. Collaborates with UPHCS and UPHIE teams to strengthen initiatives for all health IT related use cases and tools.
 
9. Maintains confidentiality of client data.
 
10. Performs other related duties as assigned or requested.
POSITION QUALIFICATIONS:Education:Minimum: 
Enrolled in undergraduate Computer Science, Data Science, or similar courses. Interest in advancing knowledge about healthcare.
 Preferred:
Enrolled in Bachelor’s Degree in Computer Information Systems, Health Informatics, Data Analytics, Nursing, or related field.
 
Experience:Minimum:
Basic knowledge or understanding of computer or data science.
 
Preferred:
Previous data science experience. 
 Skills:Minimum:
Keyboarding proficiency and working knowledge of PC business applications (MS Word, Excel, and PowerPoint)
Experience with the following programming languages: SQL, Python, JavaScript, Java
Ability to operate standard office equipment (photocopier/scanner, fax, etc.)
High level of technical and problem-solving skills
 
Preferred:
Fullstack web development
Proficiency in the following languages: Python, JavaScript, Java, Node.js, SQL
Experience with XML, CSV, JSON file formats, or other common healthcare related file types
 
The qualifications listed above are intended to represent the minimum skills and experience levels associated with performing the duties and responsibilities contained in this job description.  The qualifications should not be viewed as expressing absolute employment or promotional standards, but as general guidelines that should be considered along with other job-related selection or promotional criteria.
 Physical Requirements: 
[This job requires the ability to perform the essential functions contained in the description.  These include, but are not limited to, the following requirements. Reasonable accommodations may be made for otherwise qualified applicants unable to fulfill one or more of these requirements]:
 
Ability to enter and access information from a computer
Ability to access all areas of the UPHP offices
Occasionally lifts supplies/equipment
Prolonged periods of sitting
Manual dexterity 
 Working Conditions:
Works in office conditions
Fast-paced working environment
Subject to interruptions
 
Employment Type: FULL_TIME

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