Data Analyst

We are U.S. Soccer and we are the future of sport in the United States. Our mission is to make soccer the preeminent sport in the United States. We embrace diversity, technology and global connections to drive the growth of our sport and serve our athletes and fans. We seek motivated, passionate, skilled people who can think, create and work on a team.
U.S. Soccer is a growing company that looks for team members to grow with it. U.S. Soccer offers a comprehensive compensation package, casual work environment, an inclusive culture and an atmosphere for professional development.
The Federation’s core principles set organization-wide standards to identify and foster our culture and inform how we interact and hold each other accountable. These principles guide U.S. Soccer: We Win Together.

We Aim High.

We Champion Diversity, Equity & Inclusion.

To be successful as a USSF employee, it is critical to demonstrate and live up to these principles every day and with every interaction with peers, stakeholders, and partners.
The Federation’s core values are the individual attributes and characteristics that staff embody to uphold the organization’s principles and succeed. These values guide our employees : Integrity. Commitment.

Teamwork.

Respect.
Position Description:
The Sporting Analytics - Data Analyst will be responsible for delivering data insights from the Data Analytics Department to the coaching and technical staff across all national teams. Their role will be to ensure that any ad-hoc questions are answered quickly and in a clear and effective manner making extensive use of data visualization, as well as developing and maintaining regular opposition, post-match and custom reports.
Primary Responsibilities
Quickly answer any ad-hoc questions from the coaching staff balancing effective and thorough work with quick turnaround times
Responsible for building out and maintaining automated reports including opposition and post-match reports
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 technical staff, working closely with performance analysts
Align data reporting structures with video analysis with the ability to build out presentations combining video and data insights
Develop reporting structures to track national team pool players in their club environments
Work with technical staff on developing series of KPIs to accurately measure game model and prepare for upcoming opponents
Communicate outputs of complex models to non-technical audiences using “soccer” language
Support data analytics team on longer term projects ensuring alignment with national team requirements
Requirements

Minimum Qualifications
Bachelor’s Degree or Post-Secondary Qualification in Performance Analysis, Mathematics, Computer Science or equivalent area of study
Strong tactical knowledge and understanding of soccer
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 video analysts
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
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
Desired Qualifications:
Previous experience with a club or national team
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 video analysis softwares and workflows (particularly Hudl Sportscode and general Hudl ecosystem)
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
U.S Soccer is an equal opportunity employer that is committed to diversity, equity and inclusion, and prohibits discrimination and harassment of any kind on the basis of race, color, sex, religion, national origin, citizenship, pregnancy, sexual orientation, gender identity, age, disability, genetic information, military status, political belief, or any other characteristic protected under the law. This policy applies to all our employment practices within our organization.
We strongly encourage women, people of color, LGBTQIA, veterans, parents, and persons with disabilities to apply.

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