Job Summary/Basic Function
This person will manage the day-to-day operations of sports analytics with the data science program in CAS and be involved in analytics for at least one of the sports on campus. Daily operations include 1) coordinating plans with the supporting faculty, 2) organizing meetings with students, coaching staff, and supporting faculty, 3) following up with students to help reach project deadlines, and 4) other projects as time allows.
Job description highlighting the responsibilities of the position:
• Attending and leading weekly meetings with coaches
• Assisting other analysts
• Answer questions posed by Maryville Coaches using an analytical approach
-- Questions such as: Which shortstop is the most productive? Which pin(s) does each bowler miss the most? What is the expected productivity of each soccer player?
• Creating advanced analytical reports and presentations using Microsoft Excel and PowerBI (Prefer to know Microsoft PowerBI, R Studio, and Python)
• Take meticulous notes in each meeting
1. Engage collaboration skills with other data science majors and the Maryville sports community.
2. Coordinate with sports analytics companies in the region where we have developed a collaboration to answer questions posed by them.
3. Gain knowledge and technical competence using statistical software such as R and R Studio, PowerBI, and Python.
4. Determine and perform the appropriate statistical analysis via critical reasoning in problem-solving.
5. Communicating statistical data to demonstrate the applied theoretical concepts in attempting to solve a problem.
6. Relate the changes in “traditional” and new statistical data in sports.
7. Create new calculated values that can be used to rate or predict productivity. Be able to communicate this information with coaches and players, if needed.
8. Apply analytics in assessing a data set in assembling a team to use in a long-term assessment.
Special Instructions to Applicants
Selected candidate must be a student in good standing in the academic program at the University.
Compensation: tuition credit up to 12 hours and a $3000 stipend for the 2023-24 academic year.
Work Hours: 20 hours/week arranged with supervisor.
An offer of employment is contingent upon successful completion of a background screening.
Applicants requiring University sponsorship to obtain employment authorization will not be considered for this position.
Maryville University is committed to a policy of equal opportunity and prohibits discrimination on the basis of age, disability, gender, genetic information, marital status, national origin, race/color, religion, sex, sexual orientation, veteran status, or any other status protected by law. This extends to all aspects of the employment relationship, including recruiting, hiring, training, on-the-job treatment, promotion, layoff, and termination.