Performance Data Analyst

Performance Data Analyst

Requirements

• Bachelor’s Degree or Post-Secondary Qualification in Kinesiology, Sport Science, Mathematics, Computer Science or equivalent area of study
• Strong sport science and performance knowledge
• Strong data visualization background
• Comfortable using data science programming languages such as Python or R
• Ability to query SQL-style databases
• Excellent communication skills, particularly in presenting data concepts to non-technical audience
• 0-5 years experience working with coaches and/or performance staff
• Previous experience working in a professional or college sporting environment
• Strong interpersonal skills, with the ability to communicate and work with various different management styles and coaches
• Capable of working in fast-paced and demanding environments
• Must be able to connect “micro” details to the “macro” vision and mission
• Proficient experience with Microsoft Suite (Word, PowerPoint, Excel, and Outlook)
• Proven ability to work to tight timelines and deliver high quality work able and willing to travel up to 15% of the year
• Able and willing to work non-traditional hours including evenings and weekends as needed
• General knowledge of soccer

Responsibilities

• Quickly answer any ad-hoc questions from the coaching and performance staff balancing effective and thorough work with quick turnaround times
• Responsible for building out and maintaining automated reports including physical testing, daily monitoring, and load monitoring
• Build out a library of data visualizations based on the metrics and KPIs developed by the data analytics team
• Iterate on existing reports and visualizations with feedback from performance staff, working closely with sport scientists
• Standardize reporting strategies across teams – agnostic to the different technologies used across each team
• Develop reporting structures to track national team pool players in their club environments
• Work with performance staff on developing series of KPIs to accurately monitor player wellbeing and performance
• Support data analytics team on longer term projects ensuring alignment with national team requirements

Preferred Qualifications

• Previous experience in a sport science or high performance role at an elite level
• Strong knowledge and understanding of the overall soccer landscape in the U.S.
• Strong verbal, written, in-person and presentation communication skills
• Coaching and/or playing experience preferred
• Bilingual (English, Spanish, or other)
• Knowledge of sport science software and workflows (GPS/LPS, ACWR, force plates, etc.)
• Experience with cloud based data architecture such as AWS, GCP or Azure
• Ability to work in version control with Git
• Thorough institutional knowledge of U.S. Soccer’s mission, goals, technical plan, policies, practices, and procedures