More jobs:
UTS Student Business Intelligence Intern
Job in
Warren, Macomb County, Michigan, 48091, USA
Listed on 2026-06-07
Listing for:
Oakland University
Apprenticeship/Internship
position Listed on 2026-06-07
Job specializations:
-
IT/Tech
Data Analyst
Job Description & How to Apply Below
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.
- Eagerness to learn and adapt to new technologies
- Strong communication and teamwork skills
- Detail‑oriented with a commitment to delivering high-quality work
- 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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