At a Glance
- Tasks: Analyse and optimise academy players' physical development using data-driven insights.
- Company: Join Sheffield United, a leading football club with a commitment to player development.
- Benefits: Gain experience in elite sports, work with top professionals, and enhance your analytical skills.
- Other info: Opportunity for career growth in a supportive and inclusive club culture.
- Why this job: Make a real impact on player performance while working in a dynamic sports environment.
- Qualifications: Degree in Sport Science, Data Analysis, or related field; proficiency in data management tools.
The predicted salary is between 30000 - 40000 £ per year.
Sheffield United are seeking a highly motivated and detail-oriented Data Analyst to support the monitoring, analysis, and optimisation of academy players' physical development. Working across the Professional and Youth Development phases, this role will involve the collection and interpretation of key physical output data – primarily GPS-based – to inform performance programming, return‑to‑play strategies, and load management. The successful candidate will ultimately play a critical role in delivering data-driven insights that enhance player development and competitive performance.
Role responsibilities
- Work as part of an inter-disciplinary elite performance team that includes physiotherapists, performance coaches, nutritionists, and medics to optimise player physical development; to run faster, more effectively and more frequently than the opposition.
- Record, collate and analyse sources of physical output data derived from GPS, force‑time, and technical tracking technology.
- Utilise data management packages such as Power BI to increase data impact, engagement, understanding across key stakeholders.
- Utilising data analysis and visualisation techniques to provide key stakeholders with recommendations regarding player physical development programming.
- Take responsibility for upkeep of the data security relating to the physical outputs of academy players.
- Manage pitch side GPS tracking during games and training sessions within the Pro‑Development and Youth Development phases.
- Support research studies, led by the Academy Data Analyst, within the area of physical data analysis to provide novel insights into player physical development and performance.
- Attend any briefings, seminars, workshops or courses as required by the Club, Academy Manager or Head of Elite Performance.
- Any other reasonable requests as directed by management.
Club wide responsibilities
- Adhere to all Sheffield United Football Club's Safeguarding Policies and Procedures to foster an environment which protects from harm those defined as children and adults at risk.
- Report any concerns of a Safeguarding nature to the relevant parties and remain fully compliant with any applicable Safeguarding checks and due diligence and recognise your responsibility to the Club's Safeguarding agenda.
- Report any concerns of discrimination to the relevant parties and promote a welcoming and inclusive club environment for all.
- Adhere to the Club's Equality, Diversity and Inclusion policies, supporting the Club to create an environment which is inclusive and all‑encompassing.
- Carry out and actively participate in all training requests as directed by the Club, including mandatory health and safety training, emergency procedures, fire safety, manual handling, safeguarding, and role‑specific safety instruction.
Essential criteria for the role
- Hold an undergraduate degree in any of the following disciplines: Sport and Exercise Science, Performance Analysis, Computer Science, Data Analysis, Statistics, Mathematics, or similar relevant subject area.
- Proficient in the use of data management and analytics packages including Excel, Power BI, etc.
- An understanding of methods of statistical analysis.
- A desire to maximise physical development and performance through the analysis and application of objective data.
- Routinely work weekends and evenings as required to support the academy programme.
- Experience of working within a professional / elite sporting environment.
- This role requires the successful candidate to complete an Enhanced DBS check upon offer acceptance.
- Completion of FA Safeguarding Children.
Desirable criteria for the role
- Hold a postgraduate degree in a relevant subject area.
- Previous experience of using Catapult GPS tracking technology and interpretation of associated data.
- Experience of working within academy football.
- Experience / understanding of measures of force expression e.g., force plates.
- Proficient in the use of advanced data analysis languages and packages including R Studio, SQL, and Python.
Application process
Please follow the Apply link, then download and save the application form before inputting information. If you require a paper copy please contact the HR department careers@sufc.co.uk or call 01142537200. Completed application forms must be submitted via email to careers@sufc.co.uk stating the vacancy title in the subject or posted to HR, Sheffield United Football Club, Bramall Lane, Sheffield, S24SU. Closing date Friday 15th May 2026. Please note that in the instance of high volumes of applications we may close this vacancy earlier than the closing date noted above.
Academy Data Analyst in Sheffield employer: Sheffield United Football Club
Contact Detail:
Sheffield United Football Club Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Academy Data Analyst in Sheffield
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those connected to Sheffield United. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got experience with data management tools like Power BI or GPS tracking tech, make sure to highlight that in conversations. We want to see how you can bring value to the team!
✨Tip Number 3
Prepare for interviews by diving deep into the club's values and recent performance stats. We love candidates who are passionate about player development and can discuss how data impacts performance.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're serious about joining the Sheffield United family.
We think you need these skills to ace Academy Data Analyst in Sheffield
Some tips for your application 🫡
Get to Know Us: Before you dive into your application, take a moment to explore Sheffield United and our academy. Understanding our values and culture will help you tailor your application to show how you fit right in with us.
Show Off Your Skills: When filling out the application form, make sure to highlight your experience with data management tools like Power BI and any relevant statistical analysis methods. We want to see how your skills can contribute to our team's success!
Be Specific: Use concrete examples from your past experiences to demonstrate your understanding of player development and data analysis. The more specific you are, the better we can see how you’ll add value to our academy.
Follow the Instructions: Make sure to follow the application process as outlined. Download the application form, fill it out completely, and send it to the right email address. A well-organised application shows us you’re detail-oriented, just like we need for this role!
How to prepare for a job interview at Sheffield United Football Club
✨Know Your Data Inside Out
Make sure you’re familiar with the types of data you'll be working with, especially GPS and physical output data. Brush up on how to interpret this data and think about how it can inform player development strategies.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data management tools like Power BI, Excel, and any programming languages you know. Bring examples of how you've used these tools in past roles to drive insights or improve performance.
✨Understand the Team Dynamics
Since you'll be working with physiotherapists, coaches, and nutritionists, show that you understand the importance of collaboration. Think of examples where teamwork led to successful outcomes in your previous experiences.
✨Prepare for Scenario Questions
Expect questions that ask how you would handle specific situations, like managing data security or responding to a safeguarding concern. Have clear, concise answers ready that demonstrate your problem-solving skills and commitment to safety.