Chicago Fire Football Club is a Major League Soccer team that was founded in 1997. The Club returned to Soldier Field as well as opened a new 50,000 square foot business office in the heart of the city. With tremendous growth and expansion, the Club is laying the foundation for an ambitious vision that will transform the Club in the coming years.
Chicago Fire FC is hiring a data analyst to work with the club’s sporting staff. The data analyst will be responsible for delivering data-driven metrics, predictive models, analysis, and visualizations. This position will support Football Operations stakeholders by deriving actionable insights from varied datasets. The analyst will work with colleagues in the analytics department to set data standards and best practices across the club.
Collaborate with analytics department colleagues to develop models and analyses to inform football operations decision-making
Contribute to the design and delivery of all analysis support, including training, pre-match, in-game, post-match, individual player support, and scouting/player monitoring
Present and communicate analyses to appropriate stakeholders
Ensure all data processes are efficient, reliable and in line with club standards and time frames
Develop strong working relationships across the multi-disciplinary team
Bachelor’s degree in Mathematics, Data Science, Statistics, Economics, or a related field, or equivalent work experience
1+ years of data analysis experience
Demonstrated experience with statistical software (e.g. R, Python)
Demonstrated experience with SQL and relational databases
Demonstrated experience analyzing data to support decision-makers or derive insights
Strong knowledge of statistical analysis, machine learning and predictive modeling
Excellent written and oral communication skills and an ability to collaborate with non-technical audiences
User empathy and a willingness to work directly with football operations personnel
An understanding of football and desire to learn about football analytics
Ability to work non-traditional hours, in non-traditional settings, including all home games (or other work events) that fall on nights, weekends, and/or holidays
Must be fully vaccinated and boosted for COVID-19
Experience analyzing football data
Familiarity with data engineering tools and architectures
An interest in web development and machine learning model deployment
Chicago Fire FC is committed to fostering, cultivating, and preserving a culture of diversity, equity, accessibility, and inclusion. Our diversity initiatives start with the recruitment and selection process; therefore, we’d like to welcome all diverse candidates to apply to opportunities within our Club.
CFFC is committed to providing equal employment opportunity and maintaining a workplace for employees and applicants for employment that is free from discrimination. The Company does not discriminate in employment opportunities or practices on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, ethnicity, citizenship, age, veteran or military status, disability, sexual orientation, sexual orientation or expression, marital status or any other characteristic protected by law. This policy governs all aspects of employment, including hiring, promotion, compensation, discipline, termination, and access to benefits and training.