Data Analyst Intern

Fussball Club Cincinnati LLC (“FC Cincinnati”)•Cincinnati, OH

About The Position

As a Data Analyst Intern, you will assist the Lead Data Scientist, Soccer Analytics with pre- and post-game match reports, opposition analysis, and additional projects. The role provides data-driven insights and support to enhance team performance and decision-making. The position averages 15 hours per week and may include weekend, evening, and holiday hours. It is a paid internship, and college credit is available. The position is allotted for the 2027 MLS Sprint Season, which runs from February through April. Continued employment during the 2027–2028 season may be possible based on organizational needs and individual performance.

Requirements

Strong analytical mindset and familiarity with data analysis tools, including R and Python.
Experience with data visualization tools, including Tableau and PowerBI.
Familiarity and experience with Microsoft Office products.
Knowledge of databases, SQL, and APIs for working with data from multiple sources.
Attention to detail, strong communication skills, and ability to work in a team environment with a variety of stakeholders.
Good time-management and organizational skills to keep up with a fast-paced schedule.
Currently pursuing a bachelor’s degree in Statistics, Mathematics, Data Science, Sports Science, or a related field.
Prior work experience with data science, databasing, statistics, or sports.
Passion for soccer and familiarity with soccer rules and regulations.

Responsibilities

Aggregate and process data to analyze the overall quality of the game.
Analyze event and tracking data for macro-level trends.
Produce compelling, illustrative, user-friendly, concise, and informative reports.
Support existing and ongoing projects.
Support the soccer department, including ad hoc requests from coaches and other department directors.