Data Analyst – London

Data Analyst – London

London Full-Time 40000 - 50000 £ / year (est.) No working from home possible
Wagstaff Recruitment

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: Gain hands-on experience in a dynamic, fast-paced environment.
  • Other info: Opportunity to work with major events and develop valuable skills.
  • Why this job: Make a real impact on the future of live events and F&B strategies.
  • Qualifications: Experience in revenue analysis and working with large datasets.

The predicted salary is between 40000 - 50000 £ 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&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 Power BI.
  • 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.

Job Tenure

  • Contract
  • #J-18808-Ljbffr

Data Analyst – London employer: Wagstaff Recruitment

Wagstaff Recruitment is an excellent employer, offering a supportive work culture that prioritises employee well-being and professional growth. With structured pay progression, comprehensive training, and a focus on work-life balance, this role in Durham provides a meaningful opportunity for healthcare professionals to make a difference while enjoying predictable hours and generous benefits.

Wagstaff Recruitment

Contact Details:

Wagstaff Recruitment Recruitment Team

We think you need these skills to ace Data Analyst – London

Revenue Analysis
Data Cleaning
Data Structuring
PowerBI
Comparative Operating Model Analysis
Performance Drivers Identification
Large Dataset Management