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
3 weeks ago
Create job alert

Accepting applications until: 28 November 2025


Job Title: Lead Data Analyst

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

Lead Data Analyst (PM Support Team) | Hedge Fund - Selby Jennings

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.

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

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.