At a Glance
- Tasks: Film training sessions and analyse performance data to support athletes and coaches.
- Company: Join the Great Britain Cycling Team, the most successful Olympic and Paralympic team in history.
- Benefits: Earn £12.71 per hour with flexible hours that fit around your studies.
- Other info: Exciting opportunity for career growth in the world of performance sport.
- Why this job: Gain hands-on experience in elite sport and work with world-class athletes.
- Qualifications: Good communication, time management, and a keen interest in high-performance sport.
The predicted salary is between 12.71 - 12.71 £ per hour.
Salary: £12.71 per hour
Contract: Casual
Working hours: Working hours are on an as-required basis. Typical working hours are Monday, Wednesday and Friday afternoons (usually 1:30pm-5:00pm), with Monday and Wednesday being the key sessions if you cannot commit to all three days; however, actual hours will vary according to the needs of British Cycling and your availability.
Location: National Cycling Centre, Manchester
Start Date: from September 2026
About British Cycling: British Cycling exists to bring the joy of cycling to everyone. We have embarked on an exciting new journey, with a modernised commercial and events offering grounded in social impact and storytelling, harnessing the spotlight and inspiration of our athlete’s performance on the world stage, and our growing portfolio of major events. We are working towards our three key priorities outlined in our strategy; to support and grow the sport to make cycling more inclusive and accessible, to lead on the world stage by winning and winning well, and to drive social impact by tackling inequalities through providing opportunities.
Great Britain Cycling Team: The Great Britain Cycling Team (GBCT) is the country’s most successful Olympic and Paralympic team in history, with high ambitions to continue this legacy at LA 2028 and beyond. We are a highly driven and motivated team of skilled and passionate individuals working together to support athletes across seven cycling disciplines, to achieve their full potential and deliver world-beating performances on the biggest stages. We work hard to support delivery of British Cycling’s vision which includes striving to inspire Britain to be a great cycling nation and sharing the joy of cycling with everyone.
What will you be doing?
- Filming training sessions and tagging footage using performance analysis software
- Support coaches and athletes with the effective use of video and data feedback in training, including the production of reports
- Support the maintenance and upkeep of data logging devices (including zeroing and calibration processes) to ensure consistent and accurate data acquisition
- Helping maintain and organise video and data within performance databases
What we’re looking for:
- Good communication skills
- Good time management and organisational skills
- Be proactive and reliable
- High attention to detail and diligent with your approach
- An interest in high performance sport
Why you should apply:
- Flexible, casual work that fits around study or other commitments
- A great opportunity to gain hands-on experience in elite sport
- Exposure to a high-performance environment working with world-class athletes and coaches
- Development of practical skills in video analysis, data capture, and applied performance support
- Opportunity to build experience that can lead to future roles within performance sport
Applications close: 23rd August 2026
Data & Insights Analyst - GBCT (Casual) in Manchester employer: British Cycling
British Cycling is an excellent employer, offering a dynamic work culture that fosters creativity and collaboration in the heart of the cycling community. With a focus on employee growth, we provide opportunities for professional development and a competitive benefits package, including a Cycle to Work scheme and generous holidays, making it a rewarding place to advance your career while contributing to a meaningful cause.
StudySmarter Expert Advice🤫
We think this is how you could land Data & Insights Analyst - GBCT (Casual) in Manchester
✨Get Involved in Data Challenges
Participate in data challenges like Kaggle competitions or DrivenData to showcase your skills and network with other data enthusiasts. Not only will you build your portfolio, but you can also catch the eye of potential employers like British Cycling.
✨Connect with Local Data Communities
Join local data science meetups or online communities like Data Science Society to engage with professionals in the field. These platforms are great for networking, discovering job opportunities, and keeping your fingers on the pulse of industry trends.
✨Leverage Your University’s Resources
If you're still in university, make full use of your career services. They might have part-time roles tailored for students like you, and often have direct connections with companies looking to hire talented interns in data science roles.
✨Apply Directly Through Our Website
Don’t forget to check out our jobs at British Cycling and apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate individuals like us who are eager to make an impact in the data science world.
We think you need these skills to ace Data & Insights Analyst - GBCT (Casual) in Manchester
Some tips for your application 🫡
Show Your Data Skills:In your CV, make sure to highlight your proficiency with key data analysis tools and programming languages like Python, R, or SQL. We want to see that you've got hands-on experience with data manipulation and visualisation, so if you've worked on any relevant projects or coursework, include those details to really showcase your skills!
Tailor Your Projects Towards Data Science:When it comes to your portfolio, focus on showcasing projects that highlight your data-science abilities. Include analyses, dashboards, or any predictive models you've built. If you've contributed to Kaggle competitions or have a GitHub repository with data projects, make sure to link those—these demonstrate your practical experience and problem-solving abilities.
Express Your Motivation in the Cover Letter:Since this is a part-time role, we want to know why you're particularly interested in juggling this with your other commitments. Use your cover letter to express your passion for data science and how this role at British Cycling aligns with your career aspirations. Show us you're excited about learning and growing with us!
Keep It Concise Yet Informative:Part-time positions often receive many applications, so keep your documents clear and to the point! Aim for a concise CV detailing your relevant experiences without unnecessary fluff. Be sure to include your availability in your cover letter as well—that helps us in the decision-making process!
How to prepare for a job interview at British Cycling
✨Brush Up on Your Stats!
Given you're eyeing a part-time role in data science, make sure you’re on top of your statistical methods and data analysis techniques. Expect questions around regression, hypothesis testing, and maybe even some statistical programming languages like R or Python during the interview with British Cycling.
✨Show Off Your Projects!
It's crucial to have a portfolio that showcases your data science projects. Highlight your part-time work with specific data sets, models you've built, or analyses you've conducted. Having tangible examples will demonstrate your hands-on experience and problem-solving skills to British Cycling.
✨Familiarise Yourself with Tools of the Trade
Make sure you’re well-versed in data science tools like Jupyter Notebook, Tableau, or SQL. You might get technical questions or even a practical test at British Cycling, so having a comfort level with these tools will definitely be an advantage.
✨Be Ready to Discuss Real-World Applications
Since this is a part-time role, employers at British Cycling will likely appreciate your understanding of how data science can address actual business problems. Be prepared to discuss any relevant case studies or how you would approach specific challenges in real scenarios.
