At a Glance
- Tasks: Join a dynamic team to analyse digital performance and enhance member engagement.
- Company: A leading name in the Health & Fitness industry with a people-first culture.
- Benefits: Competitive salary, career growth opportunities, and a supportive work environment.
- Other info: Collaborate with diverse teams and enjoy genuine end-to-end exposure in your role.
- Why this job: Gain hands-on experience in digital analytics and make a real impact on member engagement.
- Qualifications: Experience with GA4 and a solid understanding of digital analytics fundamentals.
The predicted salary is between 27900 - 34100 £ per year.
We're currently working with one of the UK's most recognised names in the Health & Fitness industry. They're looking to hire a Digital Analytics Executive to join their growing Analytics team.
The Company
With over a decade in the industry, this brand has expanded to more than 150 locations across the UK and proudly supports a community of over 500,000 members. They've built a reputation not just for their size and scale, but for a people-first culture and strong core values that are truly embedded across the business.
The Role
This is a fantastic opportunity for someone earlier in their digital analytics career to join a growing team, helping the business better understand how members discover, join and engage across its digital channels. Reporting to the Digital Analytics Manager, you'll own dashboards and data quality across web and app, working shoulder-to-shoulder with Ecommerce, Marketing, Product and CRM. It's genuine end-to-end exposure - and real scope to grow as the business doubles down on this space.
The Candidate
- GA4 Expertise: Demonstrable, hands-on experience using GA4 to analyse digital performance and answer business questions - this is essential.
- Digital Analytics Fundamentals: Solid understanding of events, conversions, attribution models, and user journeys.
- Communication & Curiosity: Proven ability to explain performance clearly to technical and non-technical stakeholders, with a naturally inquisitive approach to investigating data issues.
- Core Tools: Comfortable in Excel or Google Sheets; experience with Google Tag Manager, Looker Studio, Power BI, or BigQuery is a strong plus.
Digital Analytics Executive (Health & Fitness) employer: Nicholson Glover
Join a pioneering consultancy in Central London that prioritises the practical application of strategy, ensuring your work has a lasting impact. With a hybrid work model, competitive salary, and a culture that fosters innovation and collaboration, you'll have ample opportunities for professional growth while working alongside some of the world's leading brands. This is not just a job; it's a chance to redefine how strategy is implemented and embraced within organisations.
StudySmarter Expert Advice🤫
We think this is how you could land Digital Analytics Executive (Health & Fitness)
✨Get Involved in Data Science Meetups
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✨Show Off Your Projects
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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 Nicholson Glover.
✨Apply Directly through Our Website
When you find a suitable opening like Digital Analytics Executive (Health & Fitness) at Nicholson Glover, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Digital Analytics Executive (Health & Fitness)
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Nicholson Glover, 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 Nicholson Glover. 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 Nicholson Glover
✨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 Nicholson Glover!
✨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.
