Position Overview:

The Washington Mystics Basketball Data Analyst is responsible for designing, testing, and building statistical models and reports to support the Mystics. This position will be an integral component of research efforts and be a member of a dynamic team consisting of programmers, developers, statisticians, analysts, and data scientists. This role will work closely on projects impacting the decision-making process for the Washington Mystics alongside the front office. Are you creative and have a passion for exploring, inventing and discovering new insights about basketball and data communication?! We'd love to hear from you!

Responsibilities:

Build and develop systems, analytical models, foundational structures, and machine learning models to support decision-making processes for the Mystics. Respond in a timely and efficient manner to ad-hoc requests from Basketball Operations Executives and the front office. Translate data-driven results into actionable basketball decisions and recommendations. Use data to identify possible solutions to strategic questions, including areas of player evaluation, game management, in-game tactics, roster building, salary cap strategy, and broader WNBA league trends. Integrate novel research, basketball metrics, and models into existing and new applications. Originate innovative ways to analyze and summarize data from existing and new partners. Provide the basketball operations departments with the best empirical data and data analysis available, ensuring objectivity and integrity of information through meticulous analytical models. Work with the larger research team to maintain a multidimensional and secure information system that anticipates the needs of the front office. Other duties as assigned.

Minimum Qualifications:

Bachelor's Degree or equivalent experience in STEM field including Statistics, Mathematics, Computer Science, Data Science, or similar domain. Basic knowledge of WNBA, team rosters, and league trends. Experience with basketball data, including play-by-play and sports tracking data such as Second Spectrum markings or raw data. Experience with standard SQL and other database management tools. Experience using Python, R, or other statistical programming languages. Experience with data visualization principles and tools. Excellent analytical skills with experience researching and analyzing data. Outstanding written and verbal communication skills. High integrity, dependable, and comfortable with confidential information. Ability to effectively prioritize tasks and manage time efficiently. Flexibility to work evenings, weekends, and holidays as needed.

Pay Range:

$110k - 130k USD .

Benefit Eligibility:

This role is eligible to participate in health and welfare benefits. 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