Data Analyst

Role Overview

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.

What You Will Do

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.

Why It Might Be a Fit

The position requires a strong understanding of soccer, including tactical concepts, and the ability to connect quantitative analysis to the game. 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.

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.

Tagged as: Data Analysis