At a Glance
- Tasks: Analyse data to support performance and tactical decisions for Leeds United.
- Company: Join the passionate team at Leeds United, where every role matters.
- Benefits: Competitive salary, pension scheme, and exciting perks await you.
- Other info: Be part of a supportive team that values your voice and development.
- Why this job: Make a real impact on player performance and game strategies through data.
- Qualifications: Degree in Data Science or related field; strong skills in Python, R, and SQL.
The predicted salary is between 36000 - 60000 £ per year.
Overview
Join to apply for the 1st Team Data Analyst role at Leeds United
Closing Date For Applications - 10th October 2025
Join the Team Behind the Team. At Leeds United, we know that success on the pitch starts with strength behind the scenes. We are seeking a highly motivated Data Analyst to support performance, tactical, and strategic decision-making. You will work closely with coaching staff, performance scientists, and recruitment departments to deliver actionable insights through data analysis, visualization, and predictive modelling. This is a key role in driving a data-informed culture throughout the organisation to optimise player performance, game strategies, and long-term planning.
What You’ll Be Doing
This role puts you at the centre of collaboration, innovation, and impact, turning complex data into clear, actionable solutions. If you’re passionate about storytelling through data and eager to make an impact on pitch performance, then this role could be your next career move.
Key Responsibilities
- Performance & Tactical Analysis: Analyse match, training, and physical data (e.g., GPS, event data, tracking data) to identify trends and insights.
- Deliver concise reports and dashboards to coaching staff to support tactical decisions.
- Support live and post-match analysis workflows with data-driven insights.
- Data Management & Integration: Collect, clean, and integrate data from various sources (e.g., GPS, wearables, match footage, scouting platforms).
- Maintain and improve the integrity of the club’s central data ecosystem.
- Develop models to assess player performance, injury risk, and tactical behaviours.
- Contribute to long-term research projects such as player load monitoring, opposition profiling, and win probability models.
What We’re Looking For
We’re looking for someone proactive, personable, and who thrives in a busy environment.
You’ll Have
- Bachelor’s or Master’s degree in Data Science, Statistics, Sports Science, Computer Science, or related field.
- Strong proficiency in Python and/or R, and SQL for data manipulation and analysis.
- Experience with data visualization tools (e.g., Tableau, Power BI, or custom Python dashboards).
- Experience working with tracking data (e.g., Second Spectrum, Stats Perform) or event data (e.g., Opta, StatsBomb).
- Excellent communication skills with the ability to present findings to technical and non-technical audiences.
Preferred Experience
- Prior work experience with a professional sports team or elite athlete environment.
- Familiarity with machine learning, Bayesian statistics, or player clustering techniques.
- Understanding of sports performance technologies (e.g., Catapult, GPSports, Kinduct, Kitman Labs).
- Knowledge of applied sports science, injury prevention, and training periodisation.
Why Should You Join Leeds United?
Whether you are on the pitch or behind the scenes here, we’re united by passion, pride, and a drive to always improve. You’ll be joining a supportive performance team where your voice is valued and your development matters. In return for your dedication, you’ll receive a highly competitive salary package and pension scheme, along with a wide range of exciting perks and benefits.
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Other
1st Team Data Analyst in Leeds employer: Leeds United
At Leeds United, we pride ourselves on fostering a collaborative and innovative work environment where every team member's contributions are valued. As a 1st Team Data Analyst, you will not only play a crucial role in enhancing player performance and strategic decision-making but also benefit from a competitive salary, comprehensive pension scheme, and numerous perks that support your professional growth and well-being. Join us and be part of a passionate team dedicated to excellence both on and off the pitch.
StudySmarter Expert Advice🤫
We think this is how you could land 1st Team Data Analyst in Leeds
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Leeds United.
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We think you need these skills to ace 1st Team Data Analyst in Leeds
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Leeds United, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Leeds United. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Leeds United
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Leeds United!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
