At a Glance
- Tasks: Lead data initiatives to enhance performance and decision-making in gymnastics.
- Company: Join British Gymnastics, a leader in sports performance analysis.
- Benefits: Gain experience in a dynamic environment with opportunities for personal growth.
- Other info: Collaborate with top coaches and sports professionals in a supportive team.
- Why this job: Make a real impact on athletes' success through innovative data solutions.
- Qualifications: Passion for data science and experience in data management required.
The predicted salary is between 40000 - 50000 € per year.
Over recent years, Gymnastics has seen increased Olympic and international level success, along with significant challenges. British Gymnastics is committed to developing, embedding, and driving a gymnast centred, world class culture at all levels - where gymnasts welfare and positive experiences of the sport are paramount. With driven, passionate, and committed Performance Support Team members, British Gymnastics is confident we can be successful in LA and beyond, and that we will achieve this with a culture that embodies excellence in performance whilst prioritising, developing, and caring for the individuals behind the performance.
To play a key role in achieving our ambitions, British Gymnastics are looking for an experienced Data Scientist to support our ongoing commitment to driving improvements in data management practices to increase the impact of data on performance across the programme, for the duration of a maternity cover. As our Performance Data Lead, you will play a key role in shaping the future of British Gymnastics by working with athletes, coaches, and performance staff to develop data management solutions that drive informed decision-making.
British Gymnastics leverages data from multiple sources to enhance gymnast availability and optimise performance. We believe that there is a significant competitive edge to be gained through further harnessing the power of our performance data to uncover meaningful insights that inform decision-making. Your expertise in data integration, process automation and visualisation—particularly within Teamworks, our data platform, will further improve how data informs individual Gymnast Planning, training, and competition analysis, contributing to smarter decision-making and enhanced performance outcomes.
To be successful in this role, you must be a highly motivated individual with a passion for data science. You should have a strong interest in technology, a commitment to personal development, and the ability to work collaboratively as part of a high-performing team.
KEY RESPONSIBILITIES- Quickly forge strong, trusting relationships with coaches and the sports science medicine team.
- Stay connected to the UKSI, utilising the support and experience of the system to share knowledge and keep up to date with the latest developments.
- Create engaging visualisations to inform decision-making that meet the needs of the coaches, practitioners, and the Performance Leadership Team.
- Working within the rules of the relevant governing body’s (e.g. NGB, BOA) Code of Conduct, standards and guidelines.
- Support the Head of Performance Support and Head of Performance Programmes in developing and delivering the data strategy, ensuring alignment with the Performance Plan.
- Leveraging a curious and inquisitive approach to tease out knowledge and identify opportunities for data to add real performance value.
- Improve data processes, including collection, storage, integration, and visualisation, with a focus on the utilisation of Teamworks AMS.
- Increase the performance team’s awareness of best practices at every phase in the data lifecycle.
- Manage relationships with third-party tech providers to ensure outsourced projects meet program needs.
- Experience working in a team with varied skillsets and rapidly forming strong interpersonal relationships.
- Experience working with non-technical end users to develop value-adding data processing and management solutions.
- Experience enabling positive outcomes with data solutions, such as providing valuable new insight to inform decision makers, and enhancing process efficiency and sustainability.
- Experience supporting others to implement best practice in data management.
- Experience leading and managing projects.
- Interest in sport and curiosity to learn about Olympic Gymnastics Disciplines.
- Ability to work independently, prioritise own workload, and balance conflicting demands and tight deadlines.
- Excellent communication and influencing skills that can motivate behavioural change and engagement.
- Ability to understand and abide by GDPR requirements and respect the importance of policies relating to non-disclosure.
- An understanding of how insights from data can be effectively integrated into high-performance programmes and an ability to effectively communicate complex data to a variety of audiences.
- An understanding of the needs of athletes and coaches in high‑performance environments and a good understanding of the coaching process in theory and in practice.
- Ability to efficiently restructure messy or incomplete datasets in Excel.
- Proficient in the use of data visualisation software (e.g., Excel, Power BI, Tableau) to create data reports and engaging data visualisations.
- Desire to develop data engineering skills, particularly in the integration of structured and unstructured data.
- Experience of utilising and implementing third‑party data management systems (e.g., Teamworks or similar).
- Skilled in the use of data preparation tools to automate data processes (e.g., Power Query, Tableau Prep).
- Developing knowledge of a programming language (e.g., R, Python) to automate data processes and integrate data.
- Awareness of considerations when querying relational and non-relational databases.
- Ability to work irregular and unsocial hours as required involving working outside normal office hours (evenings, weekends).
Performance Data Lead | British Gymnastics in London employer: TheASPA
British Gymnastics is an exceptional employer that prioritises a gymnast-centred culture, fostering a supportive and collaborative work environment. With a strong commitment to employee development and a focus on leveraging data to enhance performance, team members are encouraged to grow their skills while contributing to the success of athletes at all levels. Located in a dynamic sports environment, employees benefit from unique opportunities to engage with top-tier professionals and make a meaningful impact in the world of gymnastics.
StudySmarter Expert Advice🤫
We think this is how you could land Performance Data Lead | British Gymnastics in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the gymnastics and data analysis world. Attend events, join online forums, and don’t be shy about reaching out to current employees at British Gymnastics through LinkedIn. A friendly chat can open doors!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data visualisation projects or any relevant work you've done. This is your chance to demonstrate how you can turn complex data into engaging insights that coaches and athletes can actually use.
✨Tip Number 3
Prepare for the interview by understanding British Gymnastics' mission and values. Think about how your experience aligns with their goals, especially around athlete welfare and performance improvement. Tailor your answers to show you’re not just a fit for the role, but for the culture too!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the British Gymnastics team. Let’s get you that Performance Data Lead position!
We think you need these skills to ace Performance Data Lead | British Gymnastics in London
Some tips for your application 🫡
Show Your Passion for Data:When writing your application, let your enthusiasm for data science shine through! Share specific examples of how you've used data to drive decision-making in previous roles. We love seeing candidates who are genuinely excited about the impact data can have on performance.
Tailor Your Application:Make sure to customise your application to highlight how your skills and experiences align with the role of Performance Data Lead. Use keywords from the job description to demonstrate that you understand what we're looking for. This helps us see you as a great fit for our team!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on communicating your ideas effectively. Remember, we want to understand your thought process and how you approach data challenges.
Apply Through Our Website:Don't forget to submit your application through our official website! This ensures that your application gets to the right place and allows us to keep track of all applicants efficiently. Plus, it’s super easy to do!
How to prepare for a job interview at TheASPA
✨Know Your Data Inside Out
Make sure you’re well-versed in the data management practices relevant to the role. Brush up on your knowledge of Teamworks and any data visualisation tools like Power BI or Tableau. Being able to discuss specific examples of how you've used these tools to drive performance will impress the interviewers.
✨Show Your Passion for Gymnastics
British Gymnastics is all about a gymnast-centred culture, so demonstrate your enthusiasm for the sport. Share any personal experiences or insights you have about gymnastics, and how they relate to data analysis. This will help you connect with the interviewers on a deeper level.
✨Prepare for Scenario Questions
Expect questions that ask how you would handle specific situations, especially around data integration and working with non-technical users. Think of examples from your past where you’ve successfully navigated similar challenges, and be ready to explain your thought process.
✨Build Rapport with the Interviewers
Since strong relationships are key in this role, practice building rapport during the interview. Be friendly, engage with their questions, and show that you can communicate complex data insights clearly. This will highlight your interpersonal skills and ability to work collaboratively.
