Data Analyst

Description

U.S. Soccer Overview

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.
• 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 a 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 software 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.