Sports Data Analyst

About the Role

Our client is looking for a sharp and analytical Sports Data Analyst to join their team. This fully remote role is perfect for an individual passionate about uncovering insights from sports data to inform strategy and performance improvements within the Leisure & Sports sector. You will be responsible for collecting, cleaning, and analyzing vast datasets, identifying trends, and presenting your findings in a clear and actionable manner to various stakeholders. This is an excellent opportunity to leverage your analytical skills in a dynamic and data-centric environment, working from anywhere in the UK .

Key Responsibilities

• Collect, clean, and process large volumes of sports-related data from various sources.
• Perform statistical analysis to identify trends, patterns, and correlations in player performance, team statistics, and fan engagement.
• Develop and maintain data models and dashboards to visualize key metrics and performance indicators.
• Provide data-driven insights and recommendations to support strategic decision-making for sports teams, marketing, and product development.
• Collaborate with different departments to understand their data needs and deliver tailored analytical solutions.
• Stay current with the latest data analysis techniques, tools, and advancements in sports analytics.

Requirements

• Proven experience as a Data Analyst , with a strong focus on sports analytics or a related quantitative field.
• Proficiency in data manipulation and analysis using tools such as Python (Pandas, NumPy), R, or SQL.
• Experience with data visualization tools like Tableau, Power BI, or similar.
• Strong understanding of statistical concepts and methods.
• Excellent problem-solving skills and the ability to translate complex data into clear, actionable insights.
• Passion for sports and a solid understanding of various sports metrics and game dynamics.

Benefits

• Competitive salary and potential for performance-based bonuses.
• Fully remote position, offering maximum flexibility and work-life balance.
• Access to advanced analytical tools and platforms.
• Opportunities for professional growth and learning within the sports analytics field.
• A collaborative team culture that values data-driven decision-making.