Remote Data Analyst

Job Description

Company Description Wolf Soccer Club is a growing sports organization dedicated to fostering competitive performance and player development. Based in Naperville, IL, the club focuses on providing structured training, data-informed coaching, and a positive environment for athletes of varying skill levels. The organization values teamwork, discipline, and continuous improvement, both on and off the field. Wolf Soccer Club is investing in data and analytics to enhance decision-making, optimize team performance, and support long-term strategic growth.\n
Role Description The Remote Data Analyst at Wolf Soccer Club is a full-time position responsible for collecting, cleaning, and analyzing soccer-related and organizational data to support coaching, operations, and strategic planning. On a day-to-day basis, this role will design and maintain data models, create reports and dashboards, and translate complex analyses into clear insights for staff and leadership. The Data Analyst will collaborate with coaches, administrators, and other stakeholders to identify key performance indicators, track trends, and recommend data-driven improvements. Although the role is focused on data tasks that can be performed remotely, this is an on-site role located in Naperville, IL, requiring regular presence at the club’s facilities for meetings, data collection, and collaboration.\n
Qualifications
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• Strong Analytical Skills and Data Analytics capabilities, with experience interpreting quantitative data to inform decisions.
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• Proficiency in Statistics, including descriptive and inferential methods relevant to performance and operational analysis.
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• Experience with Data Modeling to structure, organize, and maintain data for reporting and forecasting.
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• Effective Communication skills to present findings clearly to non-technical stakeholders and collaborate across teams.
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• Experience with data analysis tools (e.g., Excel, SQL, Python, R, or BI platforms such as Power BI or Tableau).
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• Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field, or equivalent practical experience.
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• Ability to work independently, manage multiple projects, and meet deadlines in a dynamic sports environment.
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• Interest or experience in sports analytics, particularly soccer, is highly beneficial.
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