At a Glance
- Tasks: Analyse live event data to shape F&B strategy and drive revenue insights.
- Company: Europe's leading live entertainment platform with over 80 festivals.
- Benefits: Competitive salary, flexible working hours, and opportunities for growth.
- Other info: Join a dynamic team passionate about live entertainment and innovation.
- Why this job: Make a real impact on the future of live events and F&B strategies.
- Qualifications: Experience in revenue analysis and handling large datasets.
The predicted salary is between 35000 - 45000 £ per year.
The business is Europe's leading live entertainment platform, owning over 80 festivals including major rock, electronic, and Gen Z-focused events. With F and B playing a huge part in the overall revenue. Working directly alongside the F and B Strategy Lead, the F and B Data Analyst will help build the evidence base that will shape the company's F and B strategy for the next 5 years. This is not a standard FP and A role. The Data F and B Analyst will work with messy, live event data from multiple systems and help turn it into clear commercial recommendations.
What You Will Actually Do
- Hands-on Revenue Analysis: Go beyond top-line revenue. Analyse product mix, per-outlet performance, and site-level variances. Answer questions like: Why did Bar A outperform Bar B? Was it location, queue times, pricing, product range, or staffing? Identify the underlying drivers of performance: not just what happened, but why.
- Working with Large, Messy Datasets: Pull sales, volume, and margin data from Square POS across multiple festivals and venues: often inconsistent, incomplete, or differently formatted. Clean, structure, and build insight layers on top of imperfect operational data. Investigate why all data is not in one plan and help build a single source of truth in PowerBI.
- Comparative Operating Model Analysis: Model the financial and operational performance of in-house F and B vs outsourced partners (major contract caterers). Compare good examples vs poor examples within the company's own network. Benchmark national team performance across different countries: not just totals, but efficiency, throughput, and margin drivers. You will own the data appendix behind that recommendation: every chart, every driver analysis, every unit economics assumption.
Must-Haves (Non-Negotiable)
- Hands-on analysis of revenue streams: you have looked at F and B, product mix, or site-level performance, not just top-line totals.
- Evidence of identifying drivers of performance: you can point to a time you figured out why something performed well or poorly, not just reported the number.
- Experience working with large / messy datasets: you have built insight layers on top of imperfect operational data.
Nice To Have (But Not Essential)
- Experience in live events, festivals, stadiums, or high-volume hospitality.
- Familiarity with Square POS or similar EPOS systems.
- Basic SQL or Python for ad-hoc data pulls.
Data Analyst in London employer: TipTopJob
As Europe's leading live entertainment platform, we pride ourselves on fostering a dynamic and inclusive work culture that thrives on creativity and collaboration. Our Data Analyst role offers the unique opportunity to work at the heart of the action, analysing live event data to drive strategic decisions in the F and B sector, all while enjoying the vibrant atmosphere of our festivals. With a strong focus on employee growth, we provide ample opportunities for professional development and the chance to make a meaningful impact in an exciting industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data 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 TipTopJob!
✨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 Data Analyst at TipTopJob.
✨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 TipTopJob.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at TipTopJob, 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 Data 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 TipTopJob, 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 TipTopJob. 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 TipTopJob
✨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 TipTopJob!
✨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.
