Data Engineer à Italie

Founded in 1882, Tottenham Hotspur Football Club is an English Premier League Club, based in North London.

Led by the late great Bill Nicholson, the Club became the first in England to win the League and FA Cup Double in 1961, and the first in the UK to win a European Trophy two years later. Spurs has since been home to some of the game’s great entertainers, including Jimmy Greaves, Glenn Hoddle, Paul Gascoigne, David Ginola, Gareth Bale, Heung-Min Son and Harry Kane.

In April 2019, the Club opened an iconic new stadium that sits at the heart of a £1billion sport-led regeneration of North Tottenham. The stadium is the largest football club stadium in London and is a multi-use venue with the ability to host a variety of events 365 days a year, including NFL, boxing, rugby, concerts, and other major events, plus visitor attractions including Stadium Tours and the Dare Skywalk.

The stadium development scheme has to date created more than 4,000 new jobs for local people, with circa £300m pumped into the local economy each year.

JOB PURPOSE

• To support the integration and application of performance-related data across various club departments, including performance analysis, sports science, medicine, and nutrition, utilising advanced data-driven methodologies to optimise player and team performance.
• To identify robust patterns, extract valuable features from performance-related data, and deliver detailed data reports and visualisations that make complex insights actionable for various departmental needs.
• To communicate effectively with team members and department heads, ensuring that the insights provided are clearly understood and practically applied to enhance performance outcomes.

KEY RESPONSIBILITIES

• Apply performance-related data analysis across coaching, performance analysis, sports science, medicine, and nutrition, facilitating the use of insights towards enhancing player and team performance.
• Translate data into meaningful insights for technical staff, employing sophisticated data visualisation techniques to communicate complex insights.
• Support the alignment of performance and scouting data, collaborating with scouting staff, to deliver a holistic approach to player evaluation and squad planning.
• Assist in the development and refinement of statistical models to support performance processes.
• Create interactive dashboards, ensuring comprehensive, real-time data interrogation across Performance Analysis and Performance Services.
• Assist in the evaluation of new data technologies and tools, ensuring the club stays at the forefront of football analytics.
• Maintain best practices in the application of performance data, contributing to the continuous improvement of Football Insights processes.
• Support non-data specialists in developing data literacy and analytical skills, uplifting evidence-based decision-making across departments.

PERSON SPECIFICATION

• Passionate about football, with a keen appreciation for the dynamics and pace of elite sports.
• Creative and analytical, effectively solving complex data challenges to support performance improvement strategies.
• Works collaboratively across departments, fostering a team-oriented environment to integrate insights effectively into practical applications.
• Constantly seeks personal and professional growth, staying abreast of new analytical techniques and football performance trends.
• Proactive in managing operational needs, ensuring efficient and timely delivery of performance insights throughout the season.
• Driven by a desire to win, focuses on advancing analytics capabilities to enhance the club's competitive advantage on and off the field.

SKILLS AND EXPERIENCE

Essential

• Bachelor's or higher degree in a quantitative field (Statistics, Data Science, Computer Science, or related fields).
• Experience working with a football club’s performance analysis department, with a strong understanding of the performance analysis processes.
• Comprehensive knowledge of performance analysis, including the application of data-informed processes for detailed opposition, player, and team analysis.
• Demonstrated expertise in data analysis with a strong foundation in statistical methods and data visualisation.
• Proficiency in statistical programming languages (R/Python), and exposure to SQL for data querying.
• Experience with Tableau for creating impactful and interactive dashboards that translate complex data into actionable insights.
• Strong communication and presentation skills, with the ability to translate complex data insights into clear, actionable recommendations for a non-technical audience.
• Knowledge of football analytics and the landscape of football data providers.

Desirable

• Proficient understanding of performance services, encompassing data-informed methodologies applied in sports science, medicine, and nutrition.
• Experience with utilising StatsBomb data.
• Experience with utilising SkillCorner data.
• Experience with utilising Second Spectrum data.
• Experience with utilising STATSports GPS data.
• Familiarity with cloud-based data analytics platforms and technologies.

Tottenham Hotspur Football Club welcomes applications from anyone regardless of age, disability, race, or ethnic and national origins, religion or belief, or sexual orientation.