Senior Data Analyst (London Area)

Job Title: Senior Data Analyst

Salary: £60-65k (+ 15% bonus)

➕ Benefits :

• Private healthcare, up to 50% staff discount, free weekly lunches
• Free access to therapy, nutritionists and physiotherapists

Location: Angel (3-4 office days/week)

Industry: Entertainment & hospitality

We're looking for a Senior Data Analyst to join a popular and loved brand, causing one of the biggest disruption to the entertainment and hospitality industry through the use of innovative tech, delivering creative and immersive experienced. With over 30 venues around the world, this award-winning brand has ambitious growth plans, with lots of exciting products in the pipeline

We’re looking for a commercially savvy, forward-thinking, Senior Data Analyst to help unlock meaningful insights. In this role, you’ll work closely with stakeholders across Marketing, Sales, Product, Operations and Technology to deliver data-driven recommendations that shape strategic decisions with a knack for orchestrating compelling data stories.

Some of the key responsibilities:

• Own and maintain the architecture and structure within our Power BI reporting suite.
• Own reporting outputs and elevate them through storytelling, clarity, and business relevance.
• Deliver actionable insights across guest behaviour, bookings, and experience touchpoints — using data to influence everything from loyalty engagement to product launches.
• Collaborate with key teams to define data frameworks for tracking KPIs and performance and build self-serve dashboards that inform smarter decisions allowing teams to remain agile.
• Build and refine insight-led models that support activities such as forecasting, segmentation, retention, predictive visit analytics, and guest lifetime value analysis.

✅ Must have requirements:

• Strong proficiency in SQL
• Min. 4-5 years' experience in analytics, with a strong focus on customer insight, commercial impact and stakeholder communication.
• Advanced Power BI experience, including DAX, data model optimisation, and workspace management.
• Proven experience designing A/B tests and using statistical techniques to interpret results.
• Strategic thinker with the ability to work independently, manage multiple priorities and clearly communicate to non-technical audiences

Bonus points for experience with:

• Knowledge of Python, Databricks, DBT and/or Fabric
• Familiarity with Azure data services
• Strong knowledge of hospitality systems, booking flows, CRM and loyalty platforms — and how they power the guest journey.
• Experience creating predictive algorithms/models using demand and supply data.
• A passion for gamification, loyalty mechanics, and behavioural economics.

Please note : unfortunately, this role does not offer VISA sponsorship.