Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Lead Data Analyst

UK Sport
East Riding of Yorkshire
5 days ago
Create job alert

Organisation Hull City Tigers Ltd Salary Competitive Location Training Ground, Cottingham, Hull, East Yorkshire Contract type Permanent (Full time) Closing date 27 August 2025 Job Description Hull City Football Club is proud to be building a forward-thinking and innovative Recruitment Department at the heart of our footballing strategy. We are now seeking a talented and ambitious Lead Data Analyst to drive our use of data in shaping recruitment decisions and delivering a competitive edge on and off the pitch. This is a unique opportunity for a motivated individual with strong technical expertise and a passion for football to play a central role in the identification, evaluation, and acquisition of players who will help define the future success of Hull City FC.

Position Type: Permanent, Full time
Hours: 37.5 per week (full time), including evenings and weekends.
Location: Training Ground, Cottingham, Hull, East Yorkshire
Salary/Pay: Competitive
Closing Date: 11am Wednesday 27th August 2025

Your key responsibilities

•Develop, lead and manage the data analysis workflow and processes within the First Team Recruitment department.
• Liaise with any and all recruitment analysts, video scouts, and technical scouts to contribute to the club making critical performance related decisions.
• Lead on the development of bespoke algorithms/models to drive tailored KPIs.
• Develop dashboards and tools to help drive data-driven decision making within the Recruitment Department.
• Conduct research projects to provide unique insights to drive evidence-based decision making.
• Help drive the implementation of data science within the football club to automate working processes and increase efficiency.
• Support the Head of Recruitment throughout the entire scouting and recruitment process, from early identification through to decision making.
• Support in the visualisation of longitudinal analysis of the club’s playing style to be presented to key stake holders.
• Integrate and collate data from a variety of sources, ensuring data quality, consistency and accuracy.
• Collaborate with relevant staff on the profiling of players across all positions from key recruitment markets.
• Liaise with appropriate staff members within the department to contribute to creation of player dossiers and work in a coordinated manner.

What are we looking for?

• Expertise in coding and programming languages such as Python, R and SQL (Essential).
• Experience in ETL processes and interacting with football data APIs (Essential).
• Experience in working with football performance data to produce actionable insights (Essential).
• Good understanding of statistics and machine learning techniques (Desirable).
• Proficient in data visualisation and corresponding packages/tools (Desirable).
• Proficient in the use of scouting/data platforms such as ISF, Wyscout, Hudl and Statsbomb IQ (Desirable).
• Good understanding of football tactics and the transfer market.
• Good knowledge of relevant talent ID leagues/markets.
• Excellent problem solver and analytical thinker.
• Ability to work flexibly and adapt to the needs of the department.
• Excellent attention to detail with a proactive attitude.
• Ability to adhere to strict deadlines and work effectively under pressure.
• Adhere to a strict code of confidentiality in respect of any information relating to Hull City and its operation.
• Understanding of a constantly changing culture/demand.
• Ability to work as part of a team and on own initiative.
• Excellent interpersonal skills.
• Able to communicate effectively at all levels.
• Dedicated to self-improvement and personal development.
• Willing to follow and promote the Clubs goals and vision.
• Represent Hull City in a professional manner at all times.
Education and Qualifications

• Bachelor’s degree in a Data Science, Mathematics or relevant related field (Essential)
• Previous experience in an analysis/scouting role within a professional football club (Desirable).
• The safeguarding and welfare of our players is paramount and as such this position is subject to the Disclosure and Barring Service (DBS)

Eligibility for Employment in the UK
In accordance with current legislative requirements the successful applicant must produce documentary verification of their eligibility to work in the UK and will not be allowed to start work until this has been received.

What can we offer you?

• An attractive annual leave package, that increases on service with the organisation.
• 20% off at the Tiger Leisure Store
• 2 x season cards for you and/or your family to attend Hull City home games (following probation)
• Free on-site parking
• Opportunity for career progression and CPD


To apply for this role, please click the link below to complete the iRecruit Application Form:
Lead Data Analyst in Hull - EFL (English Football League)



Hull City Tigers Ltd is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief, marriage and civil partnerships. Hull City Equality Policy

The safeguarding and welfare of children and young people is paramount of importance to Hull City and as such this position is subject to the Disclosure and Barring Service (DBS). Hull City is fully committed to safeguarding and promoting the welfare and safety of children and young people. We expect all our Board, staff and volunteers to always adhere, demonstrate and communicate this commitment. Hull City fully accepts our responsibility to welfare and protection of children and young people therefore, our aim is for the golden thread of safeguarding to run through every element of the club’s work. Hull City Safeguarding Policy

Related Jobs

View all jobs

Lead Data Analyst

Lead Data Analyst

Lead Data Analyst

Lead Data Analyst

Lead Data Analyst

Lead Data Analyst - Supporting Communities

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.

Why Now Is the Perfect Time to Launch Your Career in Data Science: The UK's Analytics Revolution

The United Kingdom stands at the forefront of a data science revolution that's reshaping how businesses make decisions, governments craft policies, and society tackles its greatest challenges. From the machine learning algorithms powering London's fintech innovation to the predictive models guiding Manchester's smart city initiatives, Britain's transformation into a data-driven economy has created an unprecedented demand for skilled data scientists that far outstrips the available talent. If you've been contemplating a career transition or seeking to position yourself at the cutting edge of the digital economy, data science represents one of the most intellectually stimulating, financially rewarding, and socially impactful career paths available today. The convergence of big data maturation, artificial intelligence mainstream adoption, business intelligence evolution, and cross-industry digital transformation has created the perfect conditions for data science career success.

Automate Your Data Science Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

Data science roles land daily across banks, product companies, consultancies, scaleups & the public sector—often buried in ATS portals or duplicated across boards. The fix: put discovery on rails with keyword-rich alerts, RSS feeds & a reusable ChatGPT workflow that triages listings, ranks fit, & tailors your CV in minutes. This copy-paste playbook is for www.datascience-jobs.co.uk readers. It’s UK-centric, practical, & designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning Core DS, Applied/Research, Product/Decision Science, NLP/CV, Causal/Experimentation, Time Series/Forecasting, MLOps-adjacent & Analytics Engineering overlaps. Shareable Boolean searches for Google & job boards that strip out noise. Always-on alerts & RSS feeds that bring fresh UK roles to you. A ChatGPT “Data Science Job Scout” prompt that deduplicates, scores match & outputs ready-to-paste actions. A simple pipeline tracker so deadlines & follow-ups never slip.