Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join us as an Analytics Engineer, managing data workflows and creating impactful analytical models.
- Company: Be part of Live Nation, the leading live entertainment company globally.
- Benefits: Enjoy unlimited annual leave, free show tickets, and a vibrant office with games and fitness classes.
- Other info: Diverse team culture focused on personal growth and professional development.
- Why this job: Make a real impact by enabling data-driven insights in a dynamic, collaborative environment.
- Qualifications: Experience in analytics engineering, strong SQL skills, and familiarity with Databricks and BigQuery.
The predicted salary is between 50000 - 65000 ÂŁ 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
Contact Detail:
Live Nation Entertainment Recruiting Team
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 at Live Nation. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or some cool projects, bring them along to interviews. It’s a great way to demonstrate your expertise in analytics engineering.
✨Tip Number 3
Prepare for the technical stuff! Brush up on your SQL and data modelling skills. You might get asked to solve a problem on the spot, so be ready to showcase your analytical prowess.
✨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 genuinely interested in joining the team.
We think you need these skills to ace Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Analytics Engineer role. Highlight your experience with Databricks, BigQuery, and SQL, and showcase any relevant projects that demonstrate your skills in data modelling and BI engineering.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how your background aligns with our needs. Don’t forget to mention your collaborative spirit and problem-solving mindset!
Showcase Your Technical Skills: We want to see your technical prowess! Include specific examples of how you've designed data pipelines or created analytical datasets. If you’ve worked with Python, make sure to mention that too!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Live Nation Entertainment
✨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 and how you've used them to build data models or optimise workflows. This will show that you’re not just a theoretical candidate but someone who can hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Think about specific situations where you had to design scalable data models or improve data access. Highlight your analytical mindset and proactive approach to problem-solving, as this is crucial for the role.
✨Understand the Business Impact
Research Live Nation and understand how data drives their business decisions. Be prepared to discuss how your work as an Analytics Engineer can contribute to high-impact BI outputs and support various teams. This shows that you’re not just focused on the technical side but also on how it benefits the company.
✨Collaborate and Communicate
Since the role involves working closely with cross-functional teams, be ready to discuss your collaboration experiences. Share examples of how you've partnered with stakeholders to standardise metrics or improve data quality. Good communication skills are key, so demonstrate your ability to convey complex ideas clearly.