Football Research Associate - Sports Info Solutions (Open to Remote)

Sports Info Solutions jobs
Sports Jobs in Open to Remote
Accounting and Finance: Financial/Data Analyst
*In order to be considered for this role, after clicking "apply now" above and being redirected, you must fully complete the application process on the follow-up screen. *

Sports Info Solutions Football Research Associate
Position Overview
Sports Info Solutions (SIS) is looking for candidates to fill a full-time position in our R&D Department.  The Football Research Associate will work remotely and contribute as a member of our R&D team, supporting various research initiatives.
  • Perform modeling and research using SIS’s internal football database as well as other notable data sets (NextGen, etc).
  • Write articles and research pieces to be featured in SIS Research and Analysis, Sharp Football Analysis, and Stat of the Week, among other sports outlets.
  • Design and develop dashboards and various analytical tools to directly support front office and field personnel.
  • Prepare cutting-edge research for presentation in a professional setting, including sales presentations and conferences.
  • Collaborate with colleagues to help illuminate the value of SIS’s analytical products to prospective clients.
  • Other duties as assigned.
The position requires a variety of skills including (but not limited to) an analytical mind, computer expertise, writing ability, and a passion for football. Ideal candidates will possess:

  • Familiarity with contemporary football/sports analytics, including first-hand research experience
  • Analytical/Mathematical ability. 
  • Substantive experience with MySQL, SQL Server, or similar databases. 
  • Familiarity with R, Python, or another scripting language.
  • Proficiency working in Microsoft Office programs (or equivalents), especially Excel.
  • An ability to write and communicate effectively with a variety of audiences.
  • An ability to work both collaboratively and independently.
  • Experience implementing Machine Learning algorithms is a plus.
Education / Experience:
  • Bachelor’s degree preferred
  • Minimum of 2 years experience
Sponsorship is not available for this position. Applicants must be currently authorized to work in the United States on a full-time basis.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.