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- Tasks: Lead data-driven decisions to boost commercial performance in a dynamic health and fitness company.
- Company: Join a rapidly growing business focused on innovative digital projects in the wellness sector.
- Benefits: Enjoy a complimentary gym membership, 10% bonus, 25 days leave, and more perks!
- Why this job: Be part of a vibrant team shaping the future of health and fitness through analytics.
- Qualifications: 5+ years in analytics with a background in Economics, Maths, or Finance required.
- Other info: Hybrid work model available; apply now to make an impact!
The predicted salary is between 39000 - 65000 £ per year.
This range is provided by Formula Recruitment. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Salary: up to £65,000 (plus 10% bonus and benefits)
Location: London | Hybrid
I am currently looking for an experienced Commercial Analytics Manager to join a rapidly scaling Health and Fitness business, that has recently undertaken some huge digital projects and is gearing up for its next wave of growth.
Reporting directly to the Senior Revenue Manager, you will play a critical role in data-driven commercial decision-making within the business. It will be your responsibility to analyse commercial performance, identify expansion opportunities, and provide data and insights that will help shape their commercial strategy.
As Commercial Analytics Manager you will need:
- 5+ years’ experience in an analytics role (data or commercial)
- A background in Economics, Maths, Statistics or Finance
- To be able to effectively analyse data and translate it into actionable insights
- Recent experience in revenue forecasting and/or revenue budgeting models
- Sharp attention to detail and accuracy
- Stella numerical and analytical skills
The Tech:
- Modelling skills (SQL or Python or similar)
Benefits:
- Complimentary gym membership
- 10% bonus (business & personal performance)
- 25 days annual leave
- Learning and development pathways
- Season ticket loans
- Enhanced maternity pay
This is an exciting opportunity for an experienced Commercial Analytics Manager to join a growing team and play an important role in the company’s future success.
*Unfortunately, due to the high volume of applications, not all submissions will receive feedback.
Seniority level
Associate
Employment type
Full-time
Job function
Analyst
Industries
Wellness and Fitness Services
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Contact Detail:
Formula Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Commercial Analytics Manager | Health & Fitness
✨Tip Number 1
Network with professionals in the health and fitness industry. Attend relevant events or webinars to connect with people who work in analytics roles. This can help you gain insights into the company culture and potentially get a referral.
✨Tip Number 2
Familiarise yourself with the latest trends in commercial analytics, especially within the health and fitness sector. Being able to discuss current challenges and opportunities during interviews will demonstrate your passion and knowledge of the industry.
✨Tip Number 3
Prepare to showcase your analytical skills through practical examples. Be ready to discuss specific projects where you've successfully used data to drive commercial decisions, as this will highlight your experience and problem-solving abilities.
✨Tip Number 4
Research the company’s recent digital projects and growth strategies. Understanding their business model and how your role as a Commercial Analytics Manager fits into their future plans will allow you to tailor your discussions and show your genuine interest.
We think you need these skills to ace Commercial Analytics Manager | Health & Fitness
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in analytics, particularly focusing on your 5+ years in the field. Emphasise your background in Economics, Maths, Statistics, or Finance, and showcase any specific projects where you've successfully analysed data to drive commercial decisions.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about the health and fitness industry and how your skills align with the role of Commercial Analytics Manager. Mention your experience with revenue forecasting and budgeting models, and provide examples of how your insights have positively impacted previous employers.
Highlight Technical Skills: Since the role requires modelling skills in SQL, Python, or similar, be sure to include any relevant technical skills in your application. If you have specific projects or achievements that demonstrate your proficiency, mention them to stand out.
Showcase Attention to Detail: Given the importance of accuracy in this role, consider including a brief example in your application that illustrates your sharp attention to detail. This could be a project where your meticulous approach led to significant insights or improvements in commercial performance.
How to prepare for a job interview at Formula Recruitment
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you've used your analytical skills in previous roles. Be ready to explain the tools and methodologies you employed, especially if they relate to SQL or Python, as these are crucial for the role.
✨Understand the Business Context
Research the health and fitness industry, particularly any recent trends or digital projects that may impact commercial strategies. This will help you demonstrate your understanding of the business environment during the interview.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Prepare to discuss how you would approach analysing commercial performance or identifying expansion opportunities based on hypothetical scenarios.
✨Highlight Your Attention to Detail
Given the emphasis on accuracy in this role, be prepared to provide examples of how your attention to detail has positively impacted your work. This could include instances where your insights led to significant business decisions.
