Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Lead Data Analyst

Global
City of London
2 days ago
Create job alert

Job Title: Lead Data Analyst

Accepting Applications Until 28 November 2025

At Global, we think big, work hard, and never stand still. We’re the proud home of the best media and entertainment, driven by our talented and passionate people. Our mission? To make everyone’s day brighter— our Globallers, our audiences, our partners, and our communities. Whether we’re in the studio, building world-class technology, or securing record Outdoor advertising partnerships, we make sure we’re doing it as a team.

Your new role

If you’re looking for an opportunity to be a leader and innovator as part of a fast-developing analytics team, then this role is for you!

As a Lead Data Analyst at Global, you’ll combine your passion for people development and your enthusiasm for delivering effective analytical solutions to lead the analytics across crucial parts of Global’s market-leading business.

Key Responsibilities
  • Coaching, developing & supporting your direct reports (40%): You will manage multiple analysts in your domain, supporting them in their work as well as driving their learning and development to help them reach their fullest potential.
  • Leading and organising the analytics work in your squad (20%): You will oversee the analytics within one of our three domains, organising the priorities of our work in that area and defining the future of analytics through creating the project opportunities that bring the most value to Global.
  • Getting hands on in the data (40%): You will be creating and maintaining reporting products, performing analysis on data sets to drive business decisions, and ensuring a high level of data quality through rigorous testing.
What You’ll Love About This Role
  • Think Big: Help us to define the future of analytics at Global, bringing innovation and big ideas to drive the department forwards
  • Own It: Take charge of projects from start to finish, bringing your best to lead projects that you’re proud to be a part of
  • Keep it Simple: Create effective solutions to business problems without overcomplicating the task at hand
  • Better Together: Collaborate with a team of like-minded data individuals to produce excellent output in a supportive environment
What Success Looks Like

In your first few months, you’ll have:

  • Gained a strong understanding of our business operating model within our outdoor business, and some understanding of our audio and DAX businesses
  • Taken over management of the work of your direct reports and helped them take steps to work towards their development goals
  • Built up knowledge of the main data warehouses, systems, and data workflows that we are working with in your squad
  • Gotten hands on with the data, supporting different projects through building solutions, testing data outputs or answering business questions
What You’ll Need
  • Innovative Leadership: A drive to bring new ideas to your working environment, having experience improving your team through managing the effective delivery of big ideas
  • Attention to Detail: A rigorous approach to analysis and problem solving, with an eye for detail that helps you get the best out of your team
  • Technical prowess: Experience producing high quality reporting with BI tools such as Tableau or Power BI, and experience querying and wrangling data with SQL
  • Coaching and Development: Nurturing talent by empowering and guiding individuals to unlock their potential
  • Building Trust: Creating and maintaining an inclusive environment where diverse views and experiences are welcomed and celebrated in your team
Creating a place we all belong at Global

We are dedicated to creating a place where different voices are represented, amplified and celebrated. We know that we can’t serve our diverse audiences without first celebrating it in our people, which is why we’re passionate about creating an inclusive culture where every Globaller can belong. So, no matter who you are or where you are from, you can find your place at Global.

As a business, we believe in the importance of a healthy work-life balance and the value of a flexible and agile workforce. Therefore, we operate a Smart Working approach. If you need us to make any reasonable adjustments during your recruitment process, drop us an email at , we’ll be happy to help.


#J-18808-Ljbffr

Related Jobs

View all jobs

Lead Data Analyst - Edinburgh

Lead Data Analyst

Lead Data Analyst

Lead Data Analyst

Lead Data Analyst

Lead Data Analyst

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.