Data Analyst - First Team

The Chicago Fire Football Club (Chicago Fire FC) is an American professional soccer club that competes in Major League Soccer (MLS), the top U.S. domestic league. Founded on October 8, 1997, on the 126th anniversary of the Great Chicago Fire, the Club began play in 1998 as one of the League’s first expansion franchises. The Fire have won six major domestic titles, including the 1998 MLS Cup; the 1998, 2000, 2003, and 2006 Lamar Hunt U.S. Open Cups; as well as the 2003 MLS Supporters’ Shield.

The Club recently announced plans to build a $750M+ privately financed downtown stadium in Chicago in 2028. The stadium will anchor Chicago’s newest neighborhood, the 78, a 62-acre development and entertainment district located along the Chicago River just south of Roosevelt Road. For more information on our bold plans, visit DearChicago.com.

Additionally, the Club recently opened the state-of-the-art $100M Endeavor Health Performance Center in March 2025 that has set the standard for North American training facilities. With tremendous growth and expansion, the Club is laying the foundation for an audacious and ambitious vision that will transform the brand and the company in the coming years.

At Chicago Fire FC, we’re on a mission to entertain, serve, and unite Chicago by delivering excellence on and off the pitch to ensure a world-class experience. As a club we let our values guide everything we do: we uphold uncompromising integrity, show respect for all at all times, never settle for less, constantly innovate, and hold ourselves relentlessly accountable.

Position Overview

Chicago Fire FC is searching for a data analyst to work with the club's first team staff. The data analyst will support the club's first team technical staff by delivering data-driven insights and tools. For weekly match preparation, the analyst provides data, metrics, and visualizations to video analysts for integration into opposition analysis packages. The analyst also responds to ad-hoc analytical requests from coaching staff and produces independent written reports on medium- and long-term trends. The data analyst will be responsible for creating metrics, analyses, visualizations, and predictive models to support first team stakeholders. The analyst will work with colleagues in the analytics department to set data standards and best practices across the club.

Job Responsibilities

• Collaborate with analytics department colleagues to develop models and analyses to inform first team preparation and decision-making
• Provide data, metrics, and visualizations to video analysts for weekly opposition analysis and match preparation
• Respond to analytical requests from technical staff and produce independent written reports on medium- and long-term performance trends
• Build and maintain self-serve tools and dashboards for technical staff
• 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
• Completion of other duties as assigned

Required Qualifications

• Bachelor's degree in Mathematics, Data Science, Statistics, Economics, or a related field, or equivalent work experience
• 1-3 minimum years of experience in data analysis or similar role
• Demonstrated experience with Python
• Demonstrated experience with SQL and relational databases
• Demonstrated ability to analyze data to support decision-makers and derive insights
• Excellent written and oral communication skills, including experience producing analytical reports and presenting insights to stakeholders
• Comfort working both independently on analytical projects and as a data provider for other analysts' work
• Strong understanding of football and experience analyzing football data
• Must display a strong work ethic and desire to build a career in professional sports
• Ability to adapt in a fast-paced environment
• Travel and ability to work weekends/flexible hours required
• 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

Preferred Qualifications

• Spanish language fluency
• Familiarity using Python to build interactive applications (e.g., Streamlit, Dash, or similar frameworks)
• Knowledge of statistical analysis and machine learning concepts
• Familiarity with data engineering tools and architectures
• An interest in predictive modeling and model deployment
• Prior experience supporting a football technical staff

Compensation

• This role offers a salary range of $60,000.00 - $80,000.00. Final salary is determined by carefully considering the applicant's background, experience, and qualifications. Base pay may vary significantly based on geographic location, job-specific knowledge, skills, and overall experience. This role is classified as Full-time, exempt
• This role is bonus eligible based on club-wide goals
• Additional benefits & perks: Official Chicago Fire FC Website

Please Note

• 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.
• If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, please contact the People and Culture Department at [email protected] to let us know the nature of your request and your contact information.

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