Data Analyst at Hibernian Fc

Hibernian Football Club are hiring a Data Analyst on a full-time basis. The successful candidate will work on top of an existing database to design player evaluation models and develop analytical processes to support decisions within the recruitment department. They must be an efficient problem solver, with strong statistical thinking and a willingness to be across the latest research to keep us ahead of the game. DUTIES & RESPONSIBILITIES • Design statistical models to deepen our understanding of player evaluation. • Identify and monitor potential targets through data scouting. • Automate reporting processes and build dashboards to improve visibility of data across the recruitment department. • Play a key role in squad planning – including ongoing analysis of current players through data analysis. • Develop metrics aligned to our football philosophy to support decision making. • Challenge current processes and practices to ensure department growth and innovation. • Assist with the designation of projects and tasks to our Work Placement students. • Undertake and attend appropriate CPD when required and available. • Any other ad-hoc tasks as required of the role by Head of Recruitment, Director of Football or Senior Recruitment Staff. PERSON SPECIFICATION Qualifications (Essential): • Valid PVG Check (this is an essential requirement & will be part of the ‘new starter’ process). • BSc in Maths, Data Science or an equivalent degree. Qualifications (Desirable): • MSc in Maths, Data Science or an equivalent master’s degree. • Industry recognised qualifications in Talent ID/Data Analysis (i.e. PFSA). Knowledge, Skills & Experience: • Prior experience (including part-time and voluntary) within football, or evidence of open source work/technical articles relating to professional sports. • Ability to interpret/contextualise and present insights from data. • Confidence to have honest conversations and challenge colleagues. • Highly motived to work in football and recruitment. • A practical knowledge of football and the role that data plays in the sport. • Focused on self-development and growing your skill set in an elite environment. Technology: • Proficiency in R. • Experience querying data with SQL. • Knowledge of statistical methods, i.e. Bayesian inference, time series, causal inference, etc. • Understanding of machine learning/AI fundamentals, including gradient boosting and neural networks. • Commitment to data best practises, such as documentation, version control and reproducibility. Hibernian FC is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity. Hibernian FC is also committed to the safeguarding of vulnerable groups. The Club is one of the leading professional football clubs in Scotland. Based at Easter Road Stadium in Scotland’s Capital City, Edinburgh the Club is a stones throw away from the hustle and bustle of the City Centre. Over the course of its history Hibernian Football Club has won all of the major domestic titles, most recently winning the Scottish Cup in 2016. Hibernian was the first British team to play in European competition in the 1956; reaching the semi-finals. Job Title: Data Analyst Reporting to: Recruitment Manager Department: Recruitment Location: HTC Contract Type: Permanent (37.5 hours) Data Analyst (Recruitment) | Hibernian FC (Jobs in Sports Performance Analysis TheASPA) Share this post: First Team Analyst | Vancouver Rise FC 24 Feb 2026 Academy Performance Analyst (U21) | Leicester City FC 21 Feb 2026 Women’s Recruitment Manager | Charlton Athletic FC 20 Feb 2026 Simply fill in the job  details below and we will add your role to the jobs board This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply. Copyright © 2025 TheASPA - All Rights Reserved. Powered by We use cookies to analyze website traffic and optimize your website experience. By accepting our use of cookies, your data will be aggregated with all other user data. Welcome! Check out my new announcement.