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.
DUTIES AND RESPONSIBILITIES
- Analyze soccer event, tracking, physical, and performance data to identify trends, patterns, and actionable insights that support match preparation, opponent analysis, player development, and post-match performance reviews.
- Design, develop, validate, and continuously improve diagnostic, predictive, and prescriptive analytical models that inform coaching strategies, player evaluation, scouting, and organizational decision-making.
- Develop interactive dashboards, visualizations, and analytical reports that support player recruitment, scouting, roster construction, and strategic planning.
- Collaborate with the Analytics Department and cross-functional stakeholders to design, execute, and evaluate research initiatives utilizing event, tracking, and performance datasets.
- Develop, maintain, document, and optimize analytical code, data pipelines, and data science products using Python, R, SQL, and other applicable technologies while adhering to established coding and documentation standards.
- Manage, validate, cleanse, and optimize data sources while supporting data governance, storage architecture, and data quality initiatives.
- Present analytical findings and data-driven recommendations to technical and non-technical stakeholders, translating complex analyses into actionable business and soccer insights.
- Special projects and assignments as business dictates.
- Responsible for the maintenance, creation and control of all personally identifiable information or any other information protected by any Confidentiality or Privacy Standards or Company Policies that you have access or knowledge of, including but not limited to any state or federal regulations including HIPAA.
SUPERVISORY RESPONSIBILITIES
SKILLS AND QUALIFICATIONS
- 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.