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UTS Student Business Intelligence Intern

Job in Warren, Macomb County, Michigan, 48091, USA
Listing for: Oakland University
Apprenticeship/Internship position
Listed on 2026-06-07
Job specializations:
  • IT/Tech
    Data Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: UTS Student Business Intelligence Intern at Oakland University

UTS Student Business Intelligence Intern

UTS is seeking a dedicated and motivated student to join our team as a Business Intelligence (BI) Intern. In this role, you will collaborate closely with UTS developers on BI technology projects, contributing to meaningful data initiatives while building real‑world skills. Documentation is a core part of this position—ensuring project processes are transparent, organized, and accessible for future reference. This role offers a unique opportunity to gain hands‑on experience in BI and data analysis within a supportive, professional environment.

Key Responsibilities
  • Data Structure Analysis: Examine existing data structures to understand the organization's data framework, including sources, formats, and relationships, in collaboration with the UTS team.
  • Data Structure Development: Create and modify data structures based on specifications provided by the UTS team.
  • BI Content Creation: Develop and maintain BI content—including reports and dashboards—ensuring that data visualizations meet the needs of various stakeholders.
  • Documentation: Maintain thorough project documentation to ensure transparency and serve as a reliable reference for future work.
  • Learning & Mentorship: Take advantage of on‑the‑job learning opportunities and receive mentorship from experienced UTS staff to build practical BI skills and knowledge.
  • Technical Skill Development: Participate in on‑site training sessions focused on BI tools, data analysis, and programming to support your professional growth.
  • Real‑World Application: Contribute to active BI projects alongside a professional team, applying classroom knowledge to practical, real‑world scenarios.
  • Additional Development Tasks: As bandwidth allows, you may be assigned supplementary development tasks within the department based on project priorities.
Minimum Qualifications
  • Eagerness to learn and adapt to new technologies
  • Strong communication and teamwork skills
  • Detail‑oriented with a commitment to delivering high-quality work
Desired Qualifications
  • Currently enrolled in a relevant field of study (e.g., Computer Science, Information Systems, Data Science, or Business Analytics)
  • Strong analytical and problem‑solving skills
  • Basic understanding of databases and data structures
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