Quantitative Analyst – Football Operations

at  Philadelphia Eagles

The Philadelphia Eagles is known as one of the more innovative organizations in professional sports and is considered one of the most storied sports franchises in history. As an organization, the Philadelphia Eagles is both an exciting and demanding place to work fueled by passion, dedication, and a commitment on and off the field. We take our responsibility to the community seriously; the Eagles aim to make an impact in the Greater Philadelphia area and beyond. The Eagles has developed programs that provide support to the community including Eagles Autism Foundation and Eagles Cares. In addition, we are an environmental leader with our Go Green Program.
The executive office is located at the NovaCare Complex. This 108,000 square foot facility offers excellent space, amenities, and care for the players, coaches, and staff.
Lincoln Financial Field is one of the premier sports and entertainment facilities in the United States. In addition to being the home of the Philadelphia Eagles, the stadium hosts numerous other events, providing an unmatched spectator experience for over 69,000 fans. Lincoln Financial Field is maintained and managed by professionals working together to provide the highest quality sports and entertainment experience in a safe, clean, and friendly environment.

POSITION SUMMARY

The Quantitative Analyst will be a member of the analytics team within Football Operations. This position will expose candidates to all parts of the modern NFL front office, including player evaluation, game preparation, resource allocation, sports science, and player development. A good candidate will be able to work with football data to draw insights and improve decision-making. Applicants should have the quantitative skills to analyze complex problems and the technical ability to implement their ideas effectively. We expect applicants to have a good foundation in statistical modeling.

QUALIFICATIONS

• Strong analytical and quantitative skills
• Demonstrated experience in statistics and machine learning
• Proficient with data management and analysis in statistical software (R, Python, SQL)
• Software development and data visualization skills
• Good communication skills, verbal and written
• Ability to work independently with a hands-on approach
• Passion for football

Please refer the Job description for details