At a Glance
- Tasks: Lead data access and analytics modelling in a dynamic, international team.
- Company: Join Live Nation, the world's leading live entertainment company.
- Benefits: Enjoy unlimited leave, free show tickets, and a vibrant office atmosphere.
- Other info: Inclusive culture with opportunities for personal and professional growth.
- Why this job: Make an impact with data while enjoying a fun, collaborative work environment.
- Qualifications: Experience in Analytics Engineering and strong SQL skills required.
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
- 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 home life. 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 employer: Live Nation Entertainment
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 live events, and a range of wellness activities, all within a beautifully designed office that fosters innovation and personal growth. With a commitment to diversity and inclusion, Live Nation encourages its team members to bring their authentic selves to work while providing ample opportunities for professional development and meaningful contributions to the global entertainment landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already at Live Nation. A friendly chat can open doors and give you insider info on what they're really looking for.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or examples of your work with Databricks, BigQuery, or Tableau, bring them along to interviews. It’s all about proving you can walk the walk, not just talk the talk.
✨Tip Number 3
Prepare for the unexpected! Be ready for technical questions or case studies during interviews. Brush up on your SQL and Python skills, and think through how you’d tackle real-world data challenges.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the Live Nation family!
We think you need these skills to ace Analytics Engineer
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 love seeing real-world applications of your expertise.
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 Entertainment
✨Know Your Tools Inside Out
Make sure you’re well-versed in Databricks, BigQuery, and SQL. Brush up on your Python skills too, as they can come in handy. Be ready to discuss how you've used these tools in past projects and how they can be applied to the role.
✨Showcase Your Data Modelling Skills
Prepare examples of robust data pipelines and modular data models you've designed. Be specific about the challenges you faced and how you overcame them. This will demonstrate your hands-on experience and problem-solving abilities.
✨Understand the Business Impact
Research Live Nation and understand how data drives their business. Be prepared to discuss how your work as an Analytics Engineer can contribute to high-impact BI outputs and support decision-making across the organisation.
✨Collaborate and Communicate
Highlight your experience working with cross-functional teams. Prepare to discuss how you’ve partnered with stakeholders to standardise metrics and improve data quality. Good communication is key in this role, so show that you can bridge the gap between technical and non-technical teams.
