Data Analyst in London, London

The business is Europe's leading live entertainment platform, owning over 80 festivals including major rock, electronic, and Gen Z-focused events. With F&B playing a huge part in the overall revenue.

Working directly alongside the F&B Strategy Lead, the F&B Data Analyst will help build the evidence base that will shape the company's F&B strategy for the next 5 years.

This is not a standard FP&A role. The Data F&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&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&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.

Voceer presents this job opportunity for COREcruitment, a 50 person sized company who are categorized as a Recruitment Agency.

This position is being managed by COREcruitment, a reputable recruitment agency known for placing candidates in desirable positions.