Sporting Data Analyst UWEP Internship - Fall

Sporting Data Analyst UWEP Internship

Under the direction of the USL Technology & Data Strategy team, the Sporting Data Analyst UWEP supports the department by assisting with maintaining and developing league-wide sporting dashboards. The Participant will assume an integral role in the production of sporting data analytics and distribution of the results.

Specific duties include, but are not limited to:

• Assist with the routine collection of sporting data and maintenance of evolving sporting data projects.
• Build Tableau dashboards and presentation views to track team and player-level performance.
• Identify opportunities to automate collection of sporting insights from 3rd party sites.
• Translate sporting and performance data into actionable insights and strategic recommendations that inform decision-making among clubs and league-level stakeholders.
• Generate new analysis of match performance data to unlock potential commercial value driven from our partnerships with Stats Perform and Spiideo.
• Support ad-hoc requests for sporting data; build reports, visualizations, data pipelines, and presentations.
• Provide recommendations for ways to improve current workflows surrounding the processing and distribution of sporting data.

Qualifications:

• Participants must be working towards a bachelor's or master's degree in a related field and/or training and must certify that they are able to receive college course credit from an accredited college or university for their participation.
• Solid computer skills and proficiency with MS Word, Excel, PowerPoint, Outlook are a must.
• Excellent verbal and written communication skills are required.
• Positive attitude and strong work ethic are a must. Must have a "team-first" mentality with an eagerness to learn.
• Should be extremely organized and detail oriented, with a focus on quality and consistency.
• While completing the USL Work Experience Program remotely, participants must have access to a computer or laptop with reliable internet connection.
• Familiarity with event-level performance data (ex. Opta, HUDL, etc.)
• Familiarity of Tableau, or another data visualization software.
• Familiarity of SQL, or other programming languages.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.