Chicago Fire FC
Join to apply for the
Data Analyst - First Team
role at
Chicago Fire FC .
Chicago Fire Football Club is an American professional soccer club that competes in Major League Soccer (MLS) – the top U.S. domestic league. Founded on October 8, 1997, the club began play in 1998 as one of MLS’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, and the 2003 MLS Supporters’ Shield.
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 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.
MLS Privacy Policy
By clicking apply, you agree to the terms of the MLS Privacy Policy.
Seniority level
Entry level
Employment type
Full‑time
Job function
Information Technology
#J-18808-Ljbffr
Data Analyst - First Team
role at
Chicago Fire FC .
Chicago Fire Football Club is an American professional soccer club that competes in Major League Soccer (MLS) – the top U.S. domestic league. Founded on October 8, 1997, the club began play in 1998 as one of MLS’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, and the 2003 MLS Supporters’ Shield.
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 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.
MLS Privacy Policy
By clicking apply, you agree to the terms of the MLS Privacy Policy.
Seniority level
Entry level
Employment type
Full‑time
Job function
Information Technology
#J-18808-Ljbffr