At a Glance
- Tasks: Analyse pricing data to uncover trends and improve revenue strategies.
- Company: Join one of the UK's leading fitness businesses with a people-first culture.
- Benefits: Hybrid work model, competitive salary, and opportunities for personal growth.
- Other info: Diverse workplace that values your unique contributions and perspectives.
- Why this job: Make a real impact on pricing strategies in a dynamic fitness environment.
- Qualifications: 2-3 years in analytics, strong SQL and Excel skills required.
The predicted salary is between 49500 - 60500 £ per year.
Location: Hybrid (Clapham Junction 3 days per week, remote 2 days per week)
About us... We’re one of the UK’s leading fitness businesses. With more than one million members, 265+ gyms and ambitious plans to keep growing, we’re the UK’s second-largest gym operator by membership and the fourth largest in Europe. Our mission is simple: to break down barriers to fitness for all. We’re large enough to make a meaningful difference, but agile enough for individuals to influence how we grow. Technology, data and new ideas play a central role - and you’ll have the opportunity to take ownership, challenge how things are done and see the impact of your work. Just as importantly, we’re a people-first business where everyone is encouraged to be themselves. We’ve been named one of The Sunday Times Best Places to Work and awarded Investors in People Gold, alongside a host of other awards recognising our culture and our people.
About the role... The Pricing Analyst supports pricing and revenue decisions by turning pricing, competitor and customer data into clear insight. Working with the Senior Analytics Manager, Pricing Manager and teams across Marketing, Finance and Operations, this role helps assess pricing performance, model the impact of changes and recommend opportunities to improve revenue, member acquisition and retention.
Responsibilities:
- Analyse pricing, sales, customer and market data to identify trends, risks and commercial opportunities.
- Assess the potential impact of pricing decisions through scenario modelling and forecasting.
- Evaluate completed pricing initiatives to measure their commercial impact and identify lessons.
- Support the design and analysis of pricing tests and experiments, including set-up, measurement and post-test recommendations.
- Monitor pricing performance and produce regular reporting on revenue and competitor pricing.
- Maintain pricing models and related reporting tools.
- Present findings clearly, explaining the commercial implications and recommended actions.
- Help improve pricing processes, data quality and analytical approaches.
About you... 2-3 years of experience in an analytical role - pricing, commercial analytics, revenue management or financial analysis are all relevant backgrounds. Strong SQL skills and the ability to work with large datasets independently. Solid Excel skills, including financial and scenario modelling. Experience evaluating promotions or running controlled experiments, including measurement and post-analysis. Clear communication skills - you can explain technical findings to non-technical stakeholders in plain language. A commercial mindset - you understand how price, demand, volume and margin relate to each other.
We also want to put it out there that we actively encourage applications from a diverse demographic and we are passionate about your culture and value alignment. We want this to be a match that works for you as much as for us!
Pricing Analyst in London employer: The Gym group
At The Gym Group, we pride ourselves on being more than just a gym; we are a vibrant community dedicated to making fitness accessible for everyone. As a Level 3 Qualified Personal Trainer in Sydenham, you'll benefit from unrivalled growth opportunities, flexible working hours, and a supportive environment that champions diversity and collaboration. With cutting-edge facilities and a commitment to your professional development, joining us means being part of a team that celebrates your success while providing the financial security and work-life balance you deserve.
StudySmarter Expert Advice🤫
We think this is how you could land Pricing Analyst in London
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like The Gym group!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace Pricing Analyst in London
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at The Gym group, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at The Gym group
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with The Gym group’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
