Analytics Engineer

Job Description

Company: Live Nation
Department: International Data and Audience
Location: Farringdon, London
Reports to: Director, BI & Analytics, International
Working Hours: Full time
Job Type: Permanent
Role Description
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 it's like to work in the Team
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.
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

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

The Company

APPLICATION DEADLINE: Sunday 17th May 2026. We reserve the right to close applications at any time so encourage early application where possible.
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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.

Jobcode: Reference SBJ-6kpbvq-18-97-14-87-42 in your application.