The Royal Opera House
The Royal Opera House entrance on Bow Street © ROH 2012 The Royal Opera House aims to enrich people’s lives through opera and ballet.
- Open roles
- 38
- New role every
- ~2.4 days
- Posting trend
- 1.1× vs prior 90d
Company signals
Score: 79Job facts
- Location
- London, England, United Kingdom
- Posted
- Sep 04, 2026
Last verified live 1 month, 1 week ago · checked directly on the company's Dayforce HCM
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Audience Data Analyst
at The Royal Opera House
We are seeking to recruit an Audience Data Analyst to join our Analytics and Insight Team as we enter a new and exciting season of ballet and opera programming. This role will focus on delivering high-quality data analysis, ensuring that we continue to develop a holistic and evolving image of RBO audiences and sales. The postholder will provide clear, actionable insights to stakeholders across the organisation, enabling them to make strategic, evidence-based decisions. The ideal candidate will have an analytical mind, with the ability to operate independently to agreed deadlines, producing high quality and accurate work for a range of stakeholders at pace. They will be able to contribute to the output of a multi-functional and collaborative team, working with a range of specialists across UX and CX Research, Pricing, Ticketing and Marketing. The successful candidate will be able to demonstrate: Strong practical data analysis skills, including SQL skills Strong numeracy, analytical reasoning and attention to detail. The ability to understand the underlying questions of an analytics request and to translate stakeholder requests into clear, focused analysis briefs. Strong collaboration skills, with the confidence to work constructively with stakeholders, technical colleagues and subject matter experts Clear experience of taking analytical work from an initial question through to accurate findings, clear conclusions and actionable insight. An understanding of the below will be beneficial and highly regarded so please do reflect these in your application if you have: Experience with ticketing or CRM data. Experience working across multiple data sets. Experience with audience, visitor, member or customer data in a performing arts or visitor attraction environment. Experience using Python, R or another analytical programming language for data analysis or automation.