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About the Role
The Data Analyst supports decision-making across the Club's sporting organization through data analysis and visualization. The position will primarily answer ad-hoc questions from across the sporting organization while also supporting recurring match reporting and broader analysis projects. The Data Analyst will work with event, tracking-derived, physical, and other soccer data and collaborate with stakeholders across the Front Office, Scouting & Recruitment, Analysis, and High Performance departments.
Responsibilities
- Answer ad-hoc questions related to team performance, player evaluation, recruitment, opposition analysis, physical performance, and other sporting needs.
- Analyze soccer data and translate findings into clear, actionable insights through effective visualizations, reports, metrics, models, and tools.
- Produce and maintain recurring reporting around First Team matches.
- Develop and maintain accurate, reproducible workflows within the Club's existing Python-based environment.
- Balance short-turnaround requests, recurring responsibilities, and longer-running projects while collaborating with stakeholders across the sporting organization.
- Apply soccer knowledge and tactical understanding when framing questions, interpreting results, and communicating findings.
Requirements
- Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, Sports Analytics, or a related quantitative field, or equivalent demonstrated experience.
- Experience using Python for data analysis and developing statistical or machine-learning models, with strong data manipulation, visualization, and statistical skills.
- Additional experience with SQL, APIs, Git/version control, or data pipelines.
- Strong understanding of soccer, including tactical concepts, and the ability to connect quantitative analysis to the game.
- Strong problem-solving skills, including structuring open-ended questions, working independently, and communicating findings clearly to technical and non-technical audiences.
- Effective management of competing priorities, openness to direction and feedback, and attention to accuracy in high-pressure and time-sensitive environments.
- Availability to work in person and accommodate non-traditional hours, including evenings and weekends, when needed around matches and team operations.
- Experience working with soccer event, tracking-derived, or physical-performance data through professional work, academic research, or independent projects.
- Demonstrated success in professional or collegiate sports, or another high-performance environment.
Skills
- Python for data analysis
- Statistical modeling
- Machine-learning model development
- Data manipulation
- Data visualization
- Statistical skills
- SQL
- APIs
- Git/version control
- Data pipelines
- Soccer knowledge
- Tactical concepts
- Problem-solving
- Independent work
- Clear communication
- Managing competing priorities
- Attention to accuracy
Location
- Nashville
Work Type
- Onsite
- Full-time
Experience Level
- Entry-level
- Mid-level
Education Level
- Bachelor's degree
About the Company
- Nashville Soccer Club is an equal opportunity employer.
Equal Opportunity
- All qualified applicants will receive consideration for employment without regard to characteristics protected by applicable law.