Data Science and Analytics Coordinator

State of VirginiaBlacksburg, VA
34d

About The Position

The Virginia Tech Department of Athletics embraces the core values of Integrity, Service, Honor, Excellence, and Strong Together. Guided by our motto, Ut Prosim (That I May Serve), we are committed to fostering a culture that accepts, affirms, and values all individuals and their unique contributions to the department, university, and broader community. Data Science and Analytics Coordinator. Reporting to the Senior Associate Athletic Director for Revenue, this position plays a vital role in advancing data-informed decision-making across multiple areas of the athletics department, including ticketing, marketing, performance evaluation, and strategic planning. Leverages advanced analytical tools to generate actionable insights that drive operational efficiency, revenue growth, and competitive excellence. Position will collaborate across departments, supporting both business and on-field performance initiatives while maintaining a high standard of accuracy and integrity in data management and reporting.

Requirements

  • Relevant experience in data analytics, business intelligence, or sport performance analysis.
  • Advanced proficiency in Microsoft Excel and experience with data visualization platforms (e.g. Tableau, DOMO).
  • Advanced proficiency with Python, R, or a related language.
  • Strong analytical, organizational, and problem-solving skills with a high level of attention to detail.
  • Proven ability to manage multiple projects, meet deadlines, and communicate complex findings clearly to non-technical audiences.
  • Demonstrated ability to work collaboratively across teams in a fast-paced, results-driven environment.

Nice To Haves

  • Bachelor's degree in Mathematics, Economics, Statistics, Business, Sports Management, or a related field.
  • Experience working within intercollegiate athletics or professional sports organizations.
  • Familiarity with ticketing systems, CRM tools, and revenue optimization models.
  • Experience conducting statistical evaluations for team or player performance.
  • Leadership or supervisory experience in mentoring student interns or part-time staff.

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What This Job Offers

Job Type

Part-time

Career Level

Entry Level

Industry

Executive, Legislative, and Other General Government Support

Number of Employees

101-250 employees

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