Soccer Data Analyst
Listed on 2026-09-03
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IT/Tech
Data Analyst, Data Scientist
SUMMARY:The Soccer Data Analyst is responsible for applying advanced statistical methods, programming, and data science techniques to analyze soccer event, tracking, physical, and performance data. This role develops analytical models, visualizations, and decision-support tools that provide actionable insights to coaching, scouting, player recruitment, and front office staff. Working collaboratively across the organization, the Soccer Data Analyst contributes to research initiatives, enhances analytical processes, and supports strategic decision-making to create a competitive advantage.
DUTIESAND RESPONSIBILITIES
- N/A
- Bachelor's Degree in Statistics, Economics, Mathematics, Computer Science, Data Science, or quantitative discipline required.
- Master's degree in Data Science, Statistics, Computer Science, Analytics, or a related field preferred.
- 2-4 years of professional experience in data analytics, data science, sports analytics, or a related analytical field; equivalent graduate research experience may be considered.
- Demonstrated knowledge of statistical analysis, predictive modeling, machine learning, and data science methodologies.
- Advanced proficiency in Python and Excel required.
- Experience with SQL and relational databases preferred.
- Experience with R, Tableau, Power BI, Git, or other version control systems preferred.
- Experience integrating, validating, and managing data from multiple sources, APIs, and large datasets.
- Experience working with soccer event and tracking data platforms (e.g., Opta, Stats Bomb, Skill Corner, Tracab, Catapult, or similar) preferred.
- Strong understanding of data visualization best practices and the ability to develop dashboards and reports for diverse audiences.
- Demonstrated analytical thinking, intellectual curiosity, and the ability to independently solve complex technical and business challenges.
- Excellent written, verbal, and presentation skills with the ability to communicate complex analytical findings to technical and non-technical stakeholders.
- Ability to collaborate effectively within a cross-functional, team-oriented environment while managing multiple priorities and deadlines.
- Strong organizational skills with exceptional attention to detail and a commitment to producing accurate, high‑quality work.
Knowledge of soccer and a passion for applying analytics to player performance, tactical analysis, player recruitment, and organizational decision-making preferred.
Abili…
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