Senior Data Analyst, International

Live Nation (Music) UK Limited
London
7 months ago
Applications closed

Related Jobs

View all jobs

Data Architect

Research Data Analyst

Data Analyst

Data Analyst

Senior Data Engineer

Senior Client Engagement Manager – Data Science

Description

An exciting opportunity to join the international data team at Live Nation Entertainment.Live Nation Entertainment is the world’s leading live entertainment company, comprised of global market leaders: Live Nation Concerts, Live Nation Media & Sponsorship and Ticketmaster.

This role helps deliver & improve data & audience programs for Live Nation International business supporting marketing, digital advertising & business operations. You will be responsible for delivering performance & consumer insights and data models. You will also help improve delivery of data & analytics programs and support self-service analytics across Live Nation International markets .

What it’s like to work in the Team

You’ll be a part of the Live Nation’s international data team delivering data & audience solutions supporting business operation across markets in UK, EMEA and international regions. We are a diverse, flexible and collaborative team. The successful candidate contributes to our core values of driving data excellence and making data useful.

What the role Involves

Perform data transformations using Databricks to ensure clean, accurate data for analysis, business operations, and reporting. Develop and maintain SQL scripts and Python code to manipulate and analyze large datasets. Conduct data audits and quality checks to ensure accuracy, consistency, and completeness of data, improving its reliability for marketing and business applications. Build and maintain customer data models, including attribution models and customer Lifetime Value (LTV) models, to provide actionable insights. Support BI and Audience teams in creating BI dashboards and insights, delivering key performance and consumer insights. Collaborate with global data and product engineering teams to ensure data governance, accuracy, and seamless integration with MarTech and AdTech platforms. Assist in ad hoc tasks and data initiatives as needed.

Who you are

Competencies / Skills / Knowledge / Experience

Minimum of 2 years working with consumer data, preferably in the consumer or media industry. Proven experience in manipulating data using platforms like Databricks. Experience working with BI tools like Tableau to manipulate data and develop insights. Experience developing consumer and marketing attribution models. Strong proficiency in SQL and Python, with a solid understanding of data warehousing and data modeling concepts. Familiarity with web analytics platforms like Google Analytics (GA4) is beneficial. Excellent communication and presentation skills, with the ability to articulate technical solutions to non-technical stakeholders. Proactive, highly motivated, curious, and a critical thinker.

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 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.

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: Wednesday 16th October 2024.We reserve the right to close applications at anytime.

#LI-SL1

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.

Veterans in Machine Learning: A Military‑to‑Civilian Pathway into AI Careers

Introduction Artificial intelligence is no longer relegated to sci‑fi films—it underpins battlefield decision‑support, fraud detection, and even supermarket logistics. The UK Government’s 2025 AI Sector Deal forecasts an additional £200 billion in GDP by 2030, with machine‑learning (ML) engineers cited as the nation’s second most in‑demand tech role (Tech Nation 2024). The Ministry of Defence’s Defence AI Strategy echoes that urgency, earmarking £1.6 billion for FY 2025–28 to embed ML into planning, logistics, and autonomous systems. If you have ever tuned a radar filter, plotted artillery trajectories, or sifted sensor data for actionable intel, you have already worked with statistical modelling—the backbone of machine learning. This guide shows UK veterans how to reframe military experience for ML roles, leverage MoD transition funding, and land high‑impact positions building the models shaping tomorrow’s defence and commercial landscapes. Quick Win: Bookmark our live board for Machine‑Learning Engineer roles to see who’s hiring today.

Rural-Remote Machine Learning Jobs: Finding Balance Beyond the Big Cities

Over the past decade, machine learning (ML) has transformed from a niche research domain into a pervasive technology underpinning everything from recommendation systems and voice assistants to financial forecasting and autonomous vehicles. Historically, the UK’s major tech hubs—particularly London—have been magnets for top ML talent and corporate headquarters. However, remote work has become mainstream, and many ML professionals are realising they can excel in their field while living far beyond the city limits. At MachineLearningJobs.co.uk, we’ve observed a growing interest in positions that allow for a rural lifestyle or a coastal environment, often reflected in search terms like “ML remote countryside” or “tech jobs by the sea.” This surge is no coincidence. Flexible work policies, better rural broadband, and the nature of machine learning tasks—much of which can be done through cloud platforms—are bringing new opportunities to those who wish to swap urban hustle for fresh air and scenic views. Whether you’re a data scientist, ML engineer, researcher, or product manager, a rural or seaside move could reinvigorate your work-life balance. In this article, we’ll unpack why rural-remote ML jobs are on the rise, how you can navigate the challenges of leaving the city, and what you need to do to thrive in a machine learning career beyond the M25. If you’ve dreamt of looking up from your laptop to rolling fields or ocean waves, keep reading—your rural ML role might be closer than you think.