Data Analyst - Basketball Strategy and Analytics
- Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, or a related field.
- Equivalent experience in a professional setting may be considered if approved by the hiring manager.
- Experience working with sports or basketball data or in a sports role (internships included) is a plus.
- Significant experience and comfort with a scripting language is required – preferably R or Python.
- Build, enhance, and maintain the current infrastructure for storing various types of basketball data.
- Present basketball data using automated and scripted reporting tools to Coaching Staff, Athletic Performance Staff and the Front Office.
- Respond in a timely and efficient manner to ad-hoc requests from Basketball Operations Executives.
- Lead and assist with quantitative analyses and research in support of Basketball Operations.
- Stay up to date on basketball research and statistical research focused on prediction, description and visualization.
- Collaborate with members of the Basketball Strategy & Analytics on basketball related research.
- Provide general support in all aspects of basketball operations as required.
- Willing and able to work evenings, holidays, and weekends during the NBA season and transaction periods (mid-September through mid-July, as required)
- Positive and collaborative communicator with a willingness to ask questions
- General willingness and interest in learning new topics related to basketball analysis, statistical analysis and data visualization.
- Willing and Able to meet deadlines, both on advanced and on short notice
- Comfortable working in a high-pressure environment, and willing to be flexible when requests come in
- Collaborative and willing to work in a team environment
- Demonstrates initiative on small- and large-scale projects with a drive to push them to competition
- Handles sensitive and proprietary data in a professional and appropriate manner, keeping confidential information protected and secure
- Attention to detail with exemplified ability to check work
- Knowledge of the rules of basketball, specifically the NBA and the G-League
- Passion for basketball, data science and data visualization.
- Experience working with scripting languages for statistical analysis and visualization, specifically R and Python
- Experience working with APIs, relational databases, and SQL
- Experience building fast, interactive visualizations
- Familiarity with R Shiny framework is a plus
- Experience using JavaScript is a plus
- Familiarity with CSS is a plus
- Experience building predictive models
- Experience maintaining well-organized and structured code repositories for reproducible analysis
- Proficiency with Microsoft Office – Outlook, Word, Excel, and PowerPoint
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