What are the responsibilities and job description for the OIM 3545 Student Mentor position at Babson College?
OIM 3545 Student Mentor Job Description
Contract Period:
January 2025-May 2025
Compensation:
This is an hourly, paid leadership position for the Spring 2025 semester. On average, the mentor will work four hours a week for the Spring 2025 semester.
Supervision:
For training, support, and guidance with completing the position responsibilities, the mentor reports to Nathaniel Trotman, Division Coordinator of OIM, and Professor Matthew Macarty. This position is held under the Operations and Information Management Division. Mentors will also establish collaborative relationships with the OIM Division.
Position Summary:
The Department of Operations Information Management (OIM) seeks a Student Mentor to support the instruction of OIM 3545 Business Intelligence and Data Analytics, an advanced Applied Business Intelligence course. The mentor will work closely with the instructor to facilitate student learning and assist with various course-related activities.
Key Responsibilities:
- Assisting with Course Instruction:
- Support students during in-class lab activities.
- Prepare and deliver brief lectures or presentations (15 – 20 minutes) on relevant topics during office hours.
- Proctor exams and assist with exam administration.
- Supporting Course Logistics:
- Maintain student attendance records.
- Provide technical support to students using course software and tools (e.g., database management systems, data analysis platforms, and other tools).
- Assist with the maintenance of the course Canvas site.
- Research and Development:
- Stay current on relevant topics in business intelligence and data analytics.
- Suggest modifications and improvements to materials and course content
- Explore and evaluate new technologies and tools for use in the course.
- Assist with the development of new course materials and assignments.
Qualifications:
- Candidate will have successfully completed OIM 3545 previously.
- Have a solid understanding of core business intelligence concepts, including data processing, database design, data analysis, data visualization, and data warehousing.
- Proficiency in relevant software and tools (e.g., MySQL, Tableau, Power BI, Web scraping, and NoSQL databases).
- Have well-developed communication, interpersonal, and organizational skills.
- Ability to work independently.
- Strong academic record with an interest in teaching and mentoring.
