Senior Sports Data Analyst

About the Role

Our client is seeking a highly analytical and detail-oriented Senior Sports Data Analyst to join their remote team. You will play a crucial role in leveraging data to provide actionable insights that enhance performance, strategy, and fan engagement within the Leisure & Sports domain. This position requires a deep understanding of sports analytics, advanced statistical techniques, and proficiency in data visualization tools.

You will collaborate with various departments, including performance, marketing, and operations, to drive data-informed decision-making and contribute to the competitive edge of the organization. This is an excellent opportunity for a seasoned analyst to make a significant impact in a globally connected sports environment.

• Collect, clean, and analyze large datasets from various sports-related sources, including performance metrics, fan engagement, and market data.
• Develop and maintain advanced statistical models and algorithms to predict performance, identify trends, and uncover hidden insights.
• Create compelling data visualizations, dashboards, and reports to communicate findings effectively to stakeholders at all levels.
• Collaborate with coaching staff to provide data-driven insights that support player development and tactical strategies.
• Work with marketing and business teams to analyze campaign effectiveness and understand audience behavior.
• Stay abreast of the latest developments in sports analytics, data science, and relevant technologies.
• Mentor junior analysts and contribute to the development of data analysis best practices within the team.

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Sports Science, or a related quantitative field.
• Minimum of 7 years of experience in data analysis, with a significant focus on sports analytics or a related field.
• Proficiency in programming languages such as Python or R, and experience with SQL for database querying.
• Strong understanding of statistical modeling, machine learning techniques, and experimental design.
• Experience with data visualization tools (e.g., Tableau, Power BI) and creating impactful reports.
• Excellent communication and presentation skills, with the ability to explain complex analytical concepts to non-technical audiences.
• Knowledge of various sports and their associated performance metrics is essential.

• Highly competitive salary and performance-based bonuses.
• Fully remote work arrangement with flexible hours.
• Comprehensive health, dental, and vision insurance.
• Generous annual leave and paid holidays.
• Professional development allowance for conferences and certifications.