A player-first club committed to elevating the women's game, serving our community and empowering world-class athletes to be the best role models for aspiring women throughout the world.

The Washington Spirit trains in Loudoun County, VA along with DC United, and plays NWSL matches at Segra Field in Leesburg and Audi Field in Washington, DC.

The Washington Spirit is the professional women’s soccer team proudly representing the Washington, DC metropolitan area. Launched in 2012, we are a founding team in the National Women’s Soccer League (“NWSL”). Owned by Michele Kang, our vision is to:

1. Become the most preeminent sports organization in the world;
2. Have a high-performance culture of winning on and off the pitch;
3. Train women as women; and
4. Motivate and inspire the next generation of girls and women.

An exciting opportunity has arisen to join the Washington Spirit working as a Data Analyst. This is an excellent role for someone who is innovative, proactive, and hardworking to play a fundamental role in the creation, execution and maintenance of various data workflows that can be applied to three key pillars: Team & Player Analysis, Opposition Analysis, and Recruitment Analysis.

The Data Analyst will:

• Liaise with the Lead Technical Analyst to provide data insights with video context for delivery to the coaching staff and players.
• Perform data analysis tasks proactively and reactively to support and/or challenge the ideas of the coaching staff.
• Oversee the maintenance of databases.
• Create and utilize data visualization in the form of reports, dashboards, and presentations.
• Assist in the alignment of the Washington Spirit game model and data-driven processes within the realms of Team & Player Analysis, Opposition Analysis, and Recruitment Analysis.
• Collaborate with coaching staff to identify areas of improvement for team and player improvement.
• Conduct in-depth opposition analysis to inform pre-match preparation and enhance match strategies.
• Utilize advanced statistical models to identify and evaluate talent and support recruitment decision making.
• Utilizing data driven insights to develop a deeper understanding of the landscape and implications on coaching.
• Continued development and research to stay on the forefront of the analytical space.

The ideal candidate will have:

• Bachelor’s or Master’s degree in computer science/economics/mathematics or related discipline.
• High Level Proficiency in Tableau.
• High Level Proficiency in programming language such as R/Shiny, Python, SQL.
• Experience working with the Hudl Suite: Wyscout, Sportscode etc.
• Working knowledge of databases, SQL ad database design.
• Knowledge of soccer data products such as Statsbomb and Skill Corner.
• Experience working with a cloud-based solutions platform (Snowflake & Talend preferred).
• Ability to thrive in a fast-paced environment.
• Enthusiastic and energetic team player, with experience of working as part of a Multi-Disciplinary team.
• Good self-awareness, communication and interpersonal skills.
• Possess a strong work ethic and friendly demeanor.

Required:

• Ability to work non-traditional hours, including scheduled games that can/will be weekends, evenings and perhaps Holidays.
• Ability to pass a pre-employment background check.

We know there are great candidates who might not check all these boxes or who possess important skills we haven’t thought of. If that’s you, we encourage you to apply.