At a Glance
- Tasks: Design and develop scalable data models while managing data workflows in a dynamic environment.
- Company: Join Live Nation, the world's leading live entertainment company, in a diverse and collaborative team.
- Benefits: Enjoy unlimited annual leave, free show tickets, gym access, and a fully stocked coffee bar.
- Other info: Work in a vibrant office with arcade games, fitness classes, and regular staff events.
- Why this job: Make an impact by enabling data-driven insights and supporting high-quality BI outputs.
- Qualifications: Experience in Analytics Engineering, strong SQL skills, and familiarity with Databricks and BigQuery.
The predicted salary is between 50000 - 65000 € per year.
We’re looking for an Analytics Engineer to play a critical role in enabling data access, platform operations, and analytical data modelling across Live Nation's international data ecosystem. You will work with rich datasets and manage data workflows in large-scale data environments, ensuring reliable and performant data access in Databricks, BigQuery, Tableau and Data Studio.
You will lead the design and development of scalable data models and transformation layers that enable self-service analytics, while supporting high-impact BI outputs where needed. Working closely with Data Engineering, analysts, and business stakeholders, you will drive data migration, integration, and platform improvements, while contributing to the delivery of high-quality dashboards and analytical outputs.
You'll be part of Live Nation's international data team, focusing on developing and scaling data, BI, and analytical solutions supporting business operations across markets in UK, EMEA, and global regions. We are a diverse, collaborative team working to make data useful and impactful for the business. The successful candidate will play a pivotal role in enabling our reporting and analyst teams to access, analyse, and optimise data-driven insights through robust data infrastructure and platform management.
Live Nation offers impressive employee benefits including tickets to shows and festivals and unlimited annual leave. The Farmiloe Building in Farringdon, London is a beautiful office to work in. Staff can enjoy use of arcade games in the basement games room, onsite gym equipment plus fitness and meditation classes. In addition to this, the office has a fully stocked complimentary coffee bar with barista to serve you your favourite coffee as you walk into the office and offers heavily subsidised lunch options. We hold regular staff events in our atrium stage space including hosting speakers and open mic nights to showcase Live Nation employee talent.
Competencies / Skills / Knowledge / Experience
- Proven experience in Analytics Engineering or data modelling / BI engineering roles, with ownership of data platforms and enablement of analyst teams
- Experience designing and owning robust data pipelines, modular data models, and scalable analytical datasets in large-scale, cloud-based environments
- Strong hands-on expertise with Databricks, BigQuery, and advanced SQL, building performant transformation layers (Python a plus)
- Comfortable working across multiple stages of the data lifecycle, from ingestion and transformation through to modelling and visualisation
- Ability to deliver production-grade BI outputs (Tableau, Looker Studio) and translate data models into performant semantic layers
- Experience enabling self-service analytics through well-structured datasets, testing, version control, and documentation
- Strong understanding of platform administration (e.g. service accounts), performance optimisation, data quality, and governance within modern data platforms
- Strong stakeholder collaboration skills, partnering cross-functionally with Data Engineering, Analytics, and regional teams
Behaviours
- Analytical, proactive mindset with strong problem-solving ability and business acumen
- Comfortable working in fast-paced, cross-functional environments, with a continuous learning mindset
What the role includes
- Lead and evolve the Databricks analytics platform, ensuring scalable, governed, and high-quality data for analytics and BI use cases
- Manage and optimise data workflows across Databricks and BigQuery, including migration and consolidation to improve performance, efficiency, and reliability
- Design and implement scalable, reusable data models and transformation layers using SQL and Python
- Develop and maintain core analytical datasets (e.g. customer, behavioural, reporting layers) aligned to best practices in modelling and performance optimisation
- Support and Enhance BI solutions (Tableau / Google Data Studio), ensuring performant data connections and high-impact dashboard delivery where needed
- Enable analysts through data access, query optimisation, and best practices for working with centralised data models
- Manage service accounts and platform configurations, ensuring secure and reliable data access
- Partner with local stakeholders to standardise metrics, data definitions, and transformation logic across regions
- Maintain clear documentation, data models, and training materials to support self-service analytics
- Contribute to test-and-learn initiatives exploring AI-assisted approaches to enhance data workflows and integrate into scalable solutions
We are passionate and committed to our people and go beyond the rhetoric of diversity and inclusion. You will be working in an inclusive environment and be encouraged to bring your whole self to work. We will do all that we can to help you successfully balance your work and homelife. As a growing business we will encourage you to develop your professional and personal aspirations, enjoy new experiences, and learn from the talented people you will be working with. It’s talent that matters to us and we encourage applications from people irrespective of their gender identity, race, sexual orientation, religion, age, disability status or caring responsibilities.
Live Nation Entertainment is the world’s leading live entertainment company, comprised of global market leaders: Ticketmaster, Live Nation Concerts, and Live Nation Media & Sponsorship. Ticketmaster is the global leader in event ticketing with over 500 million tickets sold annually and more than 12,000 clients worldwide. Live Nation Concerts is the largest provider of live entertainment in the world promoting more than 40,000 shows and 100+ festivals annually for nearly 4,000 artists in over 40 countries. These businesses allow Live Nation Media & Sponsorship to create strategic music marketing programs that connect over 1,000 brands with the 98 million fans that attend Live Nation Entertainment events each year.
APPLICATION DEADLINE: Sunday 17th May 2026. We reserve the right to close applications at any time so encourage early application where possible. Live Nation Entertainment will never request payment or equipment purchases as part of the hiring process. Recruiters will only contact candidates from official Live Nation or affiliated brand email domains.
Analytics Engineer in London employer: Live Nation Worldwide
Live Nation is an exceptional employer, offering a vibrant work culture in the heart of Farringdon, London, where creativity and collaboration thrive. Employees enjoy impressive benefits such as unlimited annual leave, access to shows and festivals, and a range of wellness activities, all within a beautifully designed office featuring modern amenities. With a strong commitment to diversity and inclusion, Live Nation fosters professional growth and encourages employees to bring their authentic selves to work, making it a truly rewarding place to build a career in analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Live Nation on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with Databricks, BigQuery, and SQL. Bring it up during interviews to demonstrate your hands-on expertise.
✨Tip Number 3
Be ready to discuss real-world scenarios! Think of examples where you've designed data models or optimised workflows. This will show you're not just book-smart but also practical and results-driven.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Live Nation team.
We think you need these skills to ace Analytics Engineer in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in Analytics Engineering. Use keywords from the job description to show that you understand what we're looking for.
Showcase Your Skills:Don’t just list your skills; demonstrate them! Include specific examples of how you've designed data models or optimised workflows in previous roles. We want to see your hands-on experience with tools like Databricks and BigQuery.
Be Clear and Concise:Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to read through your achievements and experiences quickly.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows your enthusiasm for joining our team!
How to prepare for a job interview at Live Nation Worldwide
✨Know Your Data Tools
Familiarise yourself with Databricks, BigQuery, and Tableau before the interview. Be ready to discuss your hands-on experience with these tools, as well as any specific projects where you’ve designed data models or built transformation layers.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Think about situations where you optimised data workflows or improved performance, and be ready to explain your thought process and the impact of your solutions.
✨Understand the Business Context
Research Live Nation and its role in the live entertainment industry. Be prepared to discuss how your work as an Analytics Engineer can support their business operations and enhance data-driven insights for various stakeholders.
✨Collaborative Mindset
Highlight your experience working cross-functionally with teams like Data Engineering and Analytics. Share examples of how you’ve partnered with stakeholders to standardise metrics or improve data quality, showcasing your ability to communicate effectively and drive collaboration.