Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Lead Data Analyst

Hull City Tigers Ltd
Cottingham
4 days ago
Create job alert
Overview

Hull City Football Club is building a forward-thinking Recruitment Department and is seeking a talented and ambitious Lead Data Analyst to drive data use 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 define the future success of Hull City FC.

Responsibilities
  • Develop, lead and manage the data analysis workflow and processes within the First Team Recruitment department.
  • Liaise with 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 stakeholders.
  • 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 Club’s 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
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
How to apply

To apply for this role, please 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 is available upon request.

The safeguarding and welfare of children and young people is paramount and 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. Our aim is for the safeguarding to run through every element of the club’s work, supported by the Hull City Safeguarding Policy.


#J-18808-Ljbffr

Related Jobs

View all jobs

Lead Data Analyst

Lead Data Analyst

Lead Data Analyst

Lead Data Analyst

Lead Data Analyst

Lead Data Analyst

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.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.