Remote Lead Sports Data Analyst

About the Role

Our client is seeking a highly analytical and forward-thinking Lead Sports Data Analyst to join their fully remote team, operating from Birmingham . This role is critical in leveraging data to drive strategic decisions across various sports operations and performance metrics. You will lead a team of analysts, developing sophisticated models and insights that provide a competitive edge. This is a remote-first position, perfect for an individual who excels at data interpretation, strategic thinking, and remote collaboration, contributing to the future of sports analytics from anywhere.

Key Responsibilities

• Lead the design, development, and implementation of advanced statistical models and predictive analytics for sports performance.
• Oversee a team of data analysts, providing mentorship, technical guidance, and performance feedback.
• Translate complex data findings into actionable insights and strategic recommendations for stakeholders.
• Develop and maintain data visualization dashboards to track key performance indicators and trends.
• Collaborate with coaching staff and management to integrate data-driven strategies into team operations.
• Ensure data integrity, accuracy, and security across all analytical projects.

Requirements

• Minimum of 8 years of experience in data analysis , with a focus on sports analytics or performance analysis.
• Proven experience in leading and managing a team of analysts.
• Expertise in statistical modeling, machine learning techniques, and programming languages such as Python or R.
• Proficiency with data visualization tools like Tableau or Power BI.
• Strong understanding of sports metrics and performance indicators across multiple disciplines.
• Excellent communication and presentation skills, with the ability to explain complex data to non-technical audiences.

Benefits

• Highly competitive salary commensurate with experience.
• Fully remote work arrangement with flexible working hours.
• Generous health, dental, and vision insurance coverage.
• Significant budget for professional development and training.
• Access to cutting-edge data analysis tools and platforms.