At a Glance
- Tasks: Analyse digital performance data and provide actionable insights to improve member experience.
- Company: Join The Gym Group, the 2nd largest gym business in the UK.
- Benefits: Flexible working, supportive environment, and opportunities for personal growth.
- Other info: Inclusive culture that values diversity and encourages everyone to be themselves.
- Why this job: Make a real impact by transforming data into decisions that enhance our members' experience.
- Qualifications: Experience with Google Analytics 4 and strong analytical skills are essential.
The predicted salary is between 50000 - 60000 £ per year.
Digital Analytics Executive - Clapham Junction, United Kingdom
Full Time Role: Digital Analytics Executive Location: Hybrid - 3 days per week in Clapham Junction
If you enjoy getting to the bottom of why the numbers look the way they do - not just reporting them, but understanding where they come from and what they mean - this is a role worth reading about.
You will join our data and analytics team in a hands-on position, working with GA4, dashboards and cross-functional stakeholders to help us make smarter decisions about how we grow our membership and improve the digital experience for our members.
Who we are
We're not like any other gym company; we are The Gym Group, a place where you can #Be You With Us and perform to your absolute best.
We are successful; by membership we're the 2nd largest gym business in the UK and the 4th largest in Europe.
We hire people with real passion, positivity and enthusiasm which motivates and inspire those around them.
We actively invest in our employees; it's so important to us that our people can thrive in our environment and can make the most of the flexibility and support we offer to all of our teams.
- What you'll be doing
- Analysing digital performance data in GA4 and translating findings into clear, actionable insights for teams across the business.
- Building and maintaining dashboards and recurring reports that stakeholders in Ecommerce, Marketing, Product and CRM rely on day to day.
- Monitoring data quality and integrity, investigating anomalies and helping to resolve tracking issues before they affect business decisions.
- Collaborating with our specialist analytics agency on new tracking requirements, platform improvements and implementation projects.
- Supporting cross-functional teams with data that helps improve website conversion, member acquisition and revenue from upgrades and add-ons.
- Helping to build a connected view of customer behaviour across our website and mobile app.
- Contributing ideas for how we collect, report and use digital data more effectively as our analytics capability grows.
What we're looking for
- Hands-on experience using Google Analytics 4 (GA4) to analyse digital performance - this is essential.
- A solid understanding of digital analytics concepts including events, conversions, attribution and user journeys.
- The ability to work with data, spot trends and communicate findings clearly to both technical and non-technical colleagues.
- Strong attention to detail and a curious, investigative approach to data quality issues.
- Confidence managing multiple priorities and working at pace in a collaborative environment.
- Comfortable with Excel or Google Sheets for data analysis and manipulation.
- Our commitment to inclusion
At The Gym Group we are committed to creating an inclusive environment where everyone feels welcome, valued and able to be themselves.
We actively encourage applications from people of all backgrounds, experiences and identities.
We believe a diverse team makes us stronger - and we want this to be a place where you can truly #Be You With Us.
Need assistance?
If you have a disability or condition that makes it difficult for you to complete your application online please email your cv to or alternatively call the TGG Recruitment team on and someone will be more than happy to support you.
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!
*Please note that we may close the application window early if we receive high levels of interest. If you're interested in applying please do so asap!
Your application may be reviewed by an AI tool to help assess your suitability based on the information you provide.
Automated decision-making is never used - every application is reviewed and all decisions, including whether to progress your application, are made exclusively by a member of our recruitment team.
Your data will be handled in accordance with our Privacy Policy and UK GDPR.
If you have any questions about how your information is used, please contact
Digital Analytics Executive - Full Time employer: The Gym Group
At The Gym Group, we pride ourselves on being more than just a gym; we are a thriving community dedicated to making fitness accessible for everyone. Located on the beautiful Isle of Wight, our supportive work culture fosters personal and professional growth, offering Level 3 Qualified Personal Trainers the opportunity to thrive in a vibrant environment while enjoying competitive benefits and flexible working hours. Join us and be part of a team that values your passion for fitness and commitment to helping others achieve their goals.
StudySmarter Expert Advice🤫
We think this is how you could land Digital Analytics Executive - Full Time
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like The Gym Group.
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We think you need these skills to ace Digital Analytics Executive - Full Time
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at The Gym Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at The Gym Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at The Gym Group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at The Gym Group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
