Pay Range: Targeted salary of $10.00/hour, based on education and experience.
Benefits Eligible: No
Work Schedule:
- Approximately 10–20 hours per week.
- The supervisor will work with each student employee to establish a schedule that accommodates their class schedule.
Travel: Not required
Position Introduction:
The Dodge Family College of Arts and Sciences Dean's Office is seeking two undergraduate students to join its Data Analysis team as Student Data Analysts.
This position provides students with practical experience in data analysis, research, reporting, and data visualization. Student Data Analysts will work with institutional data and support projects that inform decision-making across the College. Students will receive hands-on training and regular guidance as they develop skills in Excel, Power BI, data validation, analytical reasoning, and professional communication.
We are especially interested in students who would like to remain in the position for multiple semesters, allowing them to continue developing their skills and take on increasingly independent work.
Responsibilities:
- Build and maintain reports, dashboards, charts, and analytical models using Excel and Power BI.
- Retrieve, organize, review, and validate institutional data.
- Assist with enrollment, student, academic program, and other College-level analyses.
- Respond to data and reporting requests from departments and Dean's Office leadership.
- Research and investigate unexpected trends or inconsistencies in data.
- Learn to query databases and work with institutional data sources.
- Document data sources, calculations, assumptions, and analytical methods.
- Summarize findings in clear language for non-technical audiences.
- Assist with longer-term analytical projects from initial research through final presentation.
- Manage multiple assignments and deadlines.
- Handle confidential student and personnel information in accordance with FERPA and University policies.
- Perform other related duties as assigned.
Student analysts will learn to answer three important questions about their work:
- How did you arrive at that number?
- Where did the data come from?
- How do we know it's right?
What You'll Learn:
- Develop advanced Excel and Power BI skills.
- Learn how professional analysts approach and validate data.
- Work with real-world datasets and business questions.
- Improve anal