Data Analyst (Intern)

Summary: The Washington Commanders are seeking a highly skilled and motivated Data Analyst (Intern) to join their dynamic data analytics team. This role involves leveraging data to drive informed decision-making and enhance the team's overall performance, offering hands-on experience in sports analytics. Responsibilities: - Assist in analyzing large datasets to extract actionable insights related to player performance, team strategy, and overall game dynamics - Support development of statistical models to evaluate player and team performance metrics - Work with the NFL Next Gen Stats player tracking data to extract insights for the teamProgramming: - Utilize a variety of programming languages, including Python, R, Java, etc., to manipulate and analyze data efficiently - Collaborate with the technology team to develop tools and applications that facilitate data analysis and reporting.Database Management: - Design and maintain SQL databases to store and organize relevant data - Write complex queries to extract, transform, and load data from various sources.Reporting and Visualization: - Create comprehensive and visually appealing reports and dashboards to communicate findings to analytics management team - Utilize data visualization tools to present key insights in an accessible manner.Collaboration: - Work closely with strategy/analytics management team, and other departments to understand data needs and provide actionable insights - Collaborate with fellow analysts to enhance overall data analytics capabilities. Continuous Learning: - Stay current with industry trends, emerging technologies, and advancements in data analytics Required Qualifications: - Bachelor's/master's degree in Statistics, Data Science, Computer Science, or a related field - Proven experience in data analytics, preferably in the sports industry - Proficiency in working with player-tracking data - Proficiency in multiple programming languages, including Python, R, Java, etc - Strong SQL skills with experience in database design and management - Excellent analytical and problem-solving skills - Familiarity with statistical modeling and machine learning techniques - Strong communication skills with the ability to convey complex findings to non-technical stakeholders - Willingness to work collaboratively with others across the organization - Keen attention to detail and willingness to ensure deliverables are accurate and complete Preferred Qualifications: - Passion for sports analytics and a deep understanding of football concepts is a plus Required Skills: Data Analysis, SQL, Python Important Skills: R, Java, Statistical Modeling Nice-to-Have Skills: Passion for Sports Analytics, Communication Skills, Attention to Detail, Collaboration