At a Glance
- Tasks: Lead analytics projects, influence strategic decisions, and mentor fellow analysts.
- Company: Join a leading name in the Health & Fitness industry with a people-first culture.
- Benefits: Competitive salary up to £65,000 plus a 10% bonus and hybrid working options.
- Other info: Opportunity for career growth in a dynamic and expanding company.
- Why this job: Make a real impact on member engagement and drive innovative analytics solutions.
- Qualifications: Proven experience in consumer-facing analytics and advanced SQL skills.
The predicted salary is between 58500 - 71500 £ 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 Lead Analyst to join their growing Analytics team.
The Company
This brand has grown to more than 200 locations across the UK and supports a community of over one million members, with ambitious plans to keep expanding. 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 senior analytics role with real influence. You’ll partner directly with the Product and Retention teams to shape strategic decisions, identify the commercial opportunities that keep members engaged, and lead payment performance analysis to improve payment success and reduce churn. The emphasis is on driving outcomes rather than reporting. You’ll size and evaluate strategic initiatives, design how success is measured before launch and assess results after, and own complex projects from problem definition through to recommendation. You’ll also mentor analysts across the team and look for ways to improve how analytics is done through automation, new tools and AI.
The Candidate
- Commercial & Customer Analysis: Proven experience leading analytical projects end-to-end in a consumer-facing environment, including designing how success is measured and evaluating performance.
- Technical Skills: Advanced, independent SQL skills, with the ability to extract and analyse complex datasets.
- Stakeholder Influence: Strong data storytelling and a track record of influencing senior, non-technical stakeholders.
- Mentoring: Experience supporting and developing other analysts, helping raise standards and ways of working across a team.
Lead Analyst in London 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 Lead Analyst in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Nicholson Glover!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lead Analyst at Nicholson Glover.
✨Leverage Professional Networks
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 Lead Analyst 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 Lead Analyst in London
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.
