Scouting Insights Analyst

Tottenham Hotspur Football Club; Enfield; On-site; GBP 65,000 - 95,000; Full time

Job summary

Tottenham Hotspur Football Club is seeking a Scouting Insights Analyst to shape recruitment strategy through data-driven analysis and insight. You will bridge advanced analytics with scouting to identify talent across global markets and influence decision-making in player identification and assessment.

You will collaborate with data scientists, scouts and leadership to embed analytical models, develop new metrics, and build world-class recruitment processes within a high-performance football

Qualifications

• Demonstrated expertise in data analysis, with a strong foundation in statistical methods and data visualisation
• Strong programming capability for statistical analysis and modelling
• Deep understanding of football analytics, player evaluation metrics, and the landscape of football data providers
• Experience analysing football event data and applying it to player evaluation and benchmarking
• Experience using tracking data or tracking-derived data for football analysis
• Previous experience within a football club’s scouting or performance analysis department
• Proficiency in Python for statistical analysis, modelling and data visualisation
• Experience building analytical applications using Streamlit and/or Flask
• Experience working with StatsBomb data to develop player metrics
• Experience working with SkillCorner data to develop player metrics
• Experience working with cloud-based data analytics platforms and technologies

Responsibilities

• Leverage advanced statistical analysis and football data to identify, monitor and evaluate player targets across global markets, delivering actionable recommendations that support recruitment strategy
• Design, develop and enhance data-driven scouting tools and workflows that improve efficiency and consistency of identification and evaluation processes
• Produce high-quality reports, visualisations and presentations translating analytical findings for scouts and leadership
• Lead exploratory research projects with autonomy, investigating market dynamics to generate new knowledge
• Apply quantitative methods to answer complex football questions, build new assessment approaches
• Educate the recruitment team about new metrics and data best practices

Job description

Founded in 1882, Tottenham Hotspur is an iconic English football club, playing in the Premier League and Women’s Super League. From North London to the world, our fanbase spans continents, cultures, and generations. Spurs is a club that’s always dared to push boundaries, breaking new ground and rewriting history.

We are at our brightest when we’re all together. Our club, our teams, our community. We are entering a new era at Tottenham with a new club strategy, new leadership, and a focus on putting our fans at the heart of everything we do as we continue to strengthen our connection with our DNA, our home, and each other.

We’re at our brightest when we’re all together. Our Club, our teams, our community.

The Role

Purpose

As a Scouting Insights Analyst, you will play a key role in shaping the club’s player recruitment strategy through data-driven analysis and insight. You will join a progressive Football Insights department, working closely with scouts, recruitment staff and football leadership to identify, evaluate and monitor talent across global markets. Your job is to turn complex football data into actionable intelligence that helps the club make better recruitment decisions.

The department’s mission is to understand football better than our rivals and turn that understanding into decisions that win matches and trophies. We achieve this by combining innovative quantitative methods, football expertise and cutting‑edge technology to create a competitive advantage in talent identification, player evaluation and squad building.

In this role, you will act as the bridge between advanced data analysis and scouting operations, embedding evidence‑based practice throughout the recruitment process. You will develop and apply statistical models to identify emerging talent, evaluate player performance and uncover market opportunities that align with the club’s football methodology and long‑term strategic objectives.

You will work on exploratory and research‑driven projects using event and tracking data that challenge conventional thinking and generate new knowledge for the scouting department. Your insights will directly influence recruitment strategy, support critical decision‑making and help ensure the club remains at the forefront of player identification and assessment.

This is an opportunity to work with one of the richest and most complex datasets in professional sport, contributing to decisions that shape the future of the club. You will have the autonomy to explore new ideas, develop innovative approaches to player analysis and play a meaningful role in building a world‑class recruitment operation.

Key Responsibilities

• Leverage advanced statistical analysis and football data to identify, monitor and evaluate player targets across global markets, delivering actionable recommendations that support the club’s recruitment strategy and long‑term squad planning
• Design, develop and enhance data‑driven scouting tools and workflows that improve the efficiency, consistency and effectiveness of player identification and evaluation processes
• Produce high‑quality reports, visualisations and presentations that translate complex analytical findings into clear, actionable insights for scouts, recruitment staff and football leadership
• Lead exploratory research projects with a high degree of autonomy, investigating emerging trends, market dynamics and strategic recruitment questions to generate new knowledge and uncover competitive advantages
• Apply innovative quantitative methods to answer complex football questions, build new approaches to player assessment and develop insights that help the club stay ahead of the market
• Help to educate the recruitment department about new metrics and data best practices to ensure that scouting are utilizing all tools correctly

Collaboration and Support

• Partner closely with data scientists and data engineers to shape the development of analytical models, providing football domain expertise and feedback to improve their relevance, robustness and practical application
• Partner closely with recruitment stakeholders to embed analytical models and insights into scouting workflows, ensuring outputs are accessible, actionable and aligned with player recruitment needs

Continuous Learning and Development

• Continuously explore new datasets, methodologies and technologies that can strengthen the club’s understanding of player performance, potential and market opportunities
• Learn and implement new tools and techniques to enhance data reporting workflows
• Engage with the football analytics community to understand evolving data needs and technologies

The Person

We are looking for a curious and analytically driven football thinker who is passionate about using data to improve recruitment decisions. The right person will combine strong technical and statistical expertise with a deep understanding of football, allowing them to transform complex data into insights that scouts, recruitment staff and football leadership can act upon with confidence.

Skills & Qualifications

• Demonstrated expertise in data analysis, with a strong foundation in statistical methods and data visualisation
• Strong programming capability for statistical analysis and modelling
• Deep understanding of football analytics, player evaluation metrics, and the landscape of football data providers
• Experience analysing football event data and applying it to player evaluation and benchmarking
• Experience using tracking data or tracking-derived data for football analysis
• Previous experience within a football club’s scouting or performance analysis department, with a strong understanding of scouting processes and player recruitment strategies
• Proficiency in Python for statistical analysis, modelling and data visualisation
• Experience building analytical applications using Streamlit and/or Flask
• Experience working with StatsBomb data to develop player metrics
• Experience working with SkillCorner data to develop player metrics
• Experience working with cloud‑based data analytics platforms and technologies

Personal Attributes

• Committed to continuous learning: embraces new technologies and techniques to stay ahead in the field
• Rigour with pragmatism: applies robust standards while staying focused on the decisions, trade‑offs, and outcomes that matter most
• Resilient and adaptable: thrives in a fast‑moving, high‑pressure environment with shifting priorities and perseveres through previously unexplored research projects
• Ambitious and impact‑driven: hungry to raise standards, deliver meaningful impact, and help the Club win matches and trophies
• Passionate about football: with a keen appreciation for the dynamics and pace of elite sports

Safeguarding & Recruitment Statement

Safeguarding is fundamental to the success in all that we do. The Club follows a Safer Recruitment process for all roles. Successful candidates should be aware that they will be subject to proportionate background, DBS and reference checks as required for this role.

We welcome applications from anyone regardless of age, disability, gender, race, ethnic or national origin, religion or belief, sex, sexual orientation, gender reassignment, marriage or civil partnership status, pregnancy or maternity.