Analytics Engineer in London

Analytics Engineer in London

London Full-Time 50000 - 65000 £ / year (est.) No home office possible
Live Nation

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 vibrant office in Farringdon.
  • Benefits: Enjoy unlimited annual leave, free tickets to shows, and access to an onsite gym and games room.
  • Other info: Inclusive culture that values diversity and encourages personal and professional growth.
  • Why this job: Make a real impact on data analytics in a fast-paced, innovative team.
  • 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.

What we can offer you

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.

Who you are

  • 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

Equal Opportunities

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.

The Company

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

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 live entertainment industry.
Live Nation

Contact Detail:

Live Nation Recruiting Team

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 folks in the industry, especially those already at Live Nation. A friendly chat can open doors and give you insider info that could make your application stand out.

✨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 a great way to demonstrate your expertise and passion for analytics.

✨Tip Number 3

Prepare for the technical questions! Brush up on your SQL and Python skills, and be ready to discuss how you've designed data models or optimised workflows in the past. Confidence in your technical abilities can really impress.

✨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 Live Nation team.

We think you need these skills to ace Analytics Engineer in London

Analytics Engineering
Data Modelling
Business Intelligence (BI) Engineering
Data Pipeline Design
Cloud-based Data Environments
Databricks
BigQuery
Advanced SQL
Python
Data Lifecycle Management
Tableau
Google Data Studio
Data Quality and Governance
Stakeholder Collaboration
Problem-Solving Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Analytics Engineer role. Highlight your experience with data modelling, BI engineering, and any specific tools mentioned in the job description like Databricks and BigQuery. We want to see how your skills align with what we're looking for!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about analytics and how your previous experiences make you a great fit for our team. Don’t forget to mention any relevant projects or achievements that showcase your skills.

Showcase Your Technical Skills: Since this role involves a lot of technical work, be sure to highlight your hands-on expertise with SQL, Python, and any BI tools you've used. We love seeing examples of how you've designed data pipelines or created impactful dashboards in your application.

Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy and ensures your application goes directly to us. Plus, it shows you’re serious about joining our awesome team at Live Nation!

How to prepare for a job interview at Live Nation

✨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 that highlight your analytical mindset and problem-solving abilities. Think of situations where you optimised data workflows or improved performance in a previous role, and be ready to explain your thought process.

✨Understand Stakeholder Collaboration

Since this role involves working closely with various teams, be prepared to discuss how you've successfully partnered with stakeholders in the past. Share specific instances where you standardised metrics or collaborated on BI outputs.

✨Demonstrate Continuous Learning

Live Nation values a continuous learning mindset. Be ready to talk about any recent courses, certifications, or self-study you've undertaken related to analytics engineering or data modelling, and how they’ve helped you grow professionally.

Analytics Engineer in London
Live Nation
Location: London

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