BI Intern: Build Dashboards, Shape Data Insights

Oakland University; Michigan; On-site; USD 20,664 - 34,440; Part time

Job summary

Oakland University is seeking a motivated Student Business Intelligence Intern to join their UTS team in Michigan. The intern will work on BI technology projects, focusing on data analysis while receiving mentorship from experienced staff. Responsibilities include analyzing data structures, creating BI content, and maintaining thorough documentation. Candidates should be eager to learn, detail-oriented, and enrolled in a relevant field such as Computer Science or Data Science. This position offers an excellent opportunity to apply classroom knowledge in real-world scenarios.

Qualifications

• Eagerness to learn and adapt to new technologies.
• Strong communication and teamwork skills.
• Detail-oriented with a commitment to delivering high-quality work.

Responsibilities

• Examine existing data structures to understand the organization's data framework.
• Create and modify data structures based on specifications.
• Develop and maintain BI content, including reports and dashboards.
• Maintain thorough project documentation for transparency.
• Engage in on-the-job learning opportunities and receive mentorship.
• Participate in on-site training sessions on BI tools and data analysis.
• Contribute to active BI projects alongside a professional team.
• Assist with additional development tasks as needed.

Skills

Eagerness to learn

Communication skills

Teamwork skills

Analytical thinking

Problem-solving skills

Attention to detail

Education

Currently enrolled in Computer Science, Information Systems, Data Science, or Business Analytics

Job description

Oakland University is seeking a motivated Student Business Intelligence Intern to join their UTS team in Michigan. The intern will work on BI technology projects, focusing on data analysis while receiving mentorship from experienced staff. Responsibilities include analyzing data structures, creating BI content, and maintaining thorough documentation. Candidates should be eager to learn, detail-oriented, and enrolled in a relevant field such as Computer Science or Data Science. This position offers an excellent opportunity to apply classroom knowledge in real-world scenarios.