A year-long Football Analysis Fellowship is now available within a Player Personnel Department. The position is designed for recent graduates with a background in quantitative fields such as Mathematics or Statistics.
Key Responsibilities
The fellowship will involve collaboration with the Coaching staff to produce data-driven reports. Fellows will similarly work closely with the Scouting staff on analysis projects related to both college and professional players.
Supporting the Football Research department through data matching and list generation is another key responsibility. The role also emphasizes the importance of advancing personal knowledge in the area of player tracking data analysis.
Candidates should possess a degree or experience in a quantitative field. A strong understanding of at least one coding language – R or Python – is preferred, but not required. Knowledge of current Football Analytics trends and exposure to version control systems, like Github, are also desired.
What Could Happen Next
If successful, the fellowship could provide a pathway for individuals to gain experience in a professional football organization. Fellows could transition into full-time roles within the team’s personnel department. The program may also continue to attract candidates with diverse backgrounds, furthering the organization’s commitment to inclusivity.
The organization is seeking individuals who are passionate about football and data analysis, and who are eager to learn and embrace modern challenges. A commitment to diversity, equity, and inclusion is also central to the organization’s values.
Frequently Asked Questions
What kind of experience is ideal for this fellowship?
The ideal candidate will have classroom and real-world experience engineering, analyzing, and presenting data.
Are coding skills absolutely necessary?
A strong understanding of at least one coding language (R or Python) is preferred, but not necessary.
What qualities is the organization looking for in applicants?
The organization is looking for someone who loves sports (especially football) and data analysis, is eager to learn, doesn’t take themselves too seriously, and is a team player.
As teams continue to prioritize data-driven decision-making, how critical do you suppose analytical skills will become for those seeking a career in professional football?
