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

Apply Now

Business Intelligence Manager - London

Legends Global
London
3 days ago
Create job alert

About Legends Global

Legends Global is redefining excellence in sport, entertainment and live events. With unrivalled expertise and international reach, we provide end-to-end solutions - from venue development and event programming to revenue strategy and hospitality.

We take a 360-degree, data-driven approach across Partnerships, Hospitality, Merchandise and Attractions, working with leading clients to deliver outstanding experiences that resonate worldwide.

Our organisation is committed to fostering an inclusive and forward-thinking environment where diversity drives innovation and collaboration. Guided by our values of Align, Scale, Connect, Team and Win... we create a culture where everyone has the opportunity to thrive.

The Venue

Located in the heart of West London, Chelsea Football Club is one of the world's most iconic football clubs and a premier sports and events venue. Stamford Bridge, blends rich football heritage with state-of-the-art facilities, offering a dynamic and inspiring environment for both matchday and non-matchday operations.

As a world-class venue, Stamford Bridge hosts not only thrilling Premier League fixtures but also an array of high-profile events, conferences, and hospitality experiences. From our luxurious hospitality suites and restaurants to our versatile event spaces and fan zones.

About the Role

The Business Intelligence Manager will partner with in-venue operations at Chelsea FC. They will support contract decision making, working side-by-side with hospitality leadership to drive intelligent impact. By delivering a suite of insight and analytics services, the role will improve the efficiency, effectiveness, and resiliency of the business. Supported by a centre of excellence within Legends IQ, the Analyst will serve as an on-the-ground ambassador ensuring quality standards are maintained in every step of the operations. In addition to planned consulting services and ad hoc work, the role will drive innovation and adoption of operational best practices.

What we can offer

Hosting events is what we do best, and we want our People to experience that too- enjoy access to discounted tickets to unleash your superfan for all your favourites.

You will work hard at Legends Global, but you will be rewarded with lots of time to relax and rest with 25 days annual leave.

We understand that you have a life outside of work and want to ensure that your loved ones will always be taken care of whilst you're contributing to our success with our Life Assurance policy.

A healthy contribution of % Pension so that your golden years are spent ticking off the items on your bucket list.

Got a dental bill? Need to book a counselling session? Or even help with Physio costs? With the support of Healthshield; Legends Global will support with these unexpected costs. For you and any children.

We understand that from time to time you might need a bit of support to get you back to feeling your best, so we have teamed up with AXA Health to provide our people with an Employee Assistance Programme (EAP) to support mental health in the workplace.

We are visionaries: both physically and metaphorically! When you join Legends Global you will be entitled to eye care vouchers and a contribution towards any glasses you require.

Pedal your way to a greener, healthier commute-join our Cycle to Work scheme and turn every ride into a win for you and the planet

Great people know great people! Refer a friend through our Employee Referral Scheme and get rewarded for helping us build an amazing team

Key Responsibilities:

  • Deliver IQ business intelligence and analytics services to in-venue stakeholders:
    Develop specific venue knowledge, including physical configuration, proposed technology, and operational processes.
  • Set up and deliver a suite of reporting (heat maps, dashboards, presentations, status updates) standards and formats for partner and operator end-use.
    Support monthly business and post-event reviews to share performance updates and identify opportunities.
  • Develop and deploy optimal pricing, product, placement, and promotion strategies across all tiers within hospitality and GA based on team objectives, fan and client feedback.
  • Partner with Legends IQ to bring subject matter expertise across Audience insights, Modelling Insights, Data Visualization, Strategic Insights, and Data Engineering to drive consistent and scalable outcomes.
  • Identify opportunities to change existing product offerings or distribution.
  • Communicate key guest insights and potential action items.
  • Analyse and build optimal solutions around variable labour and cost of sales management.
  • Support best-in-class data governance to in-venue management team through data audit, upgrades, and management trainings.
  • Support or directly complete ad-hoc analytics projects as needed or required.

We are looking for someone with:

  • Experience in quantitative, analytical consulting, and/or client-facing businesses, as well as experience interacting with internal organizational leadership.
  • Bachelor's Degree and/or master's degree in business analytics, statistics, economics, or a related field.
  • Self-starter who is eager to learn the business and drive insights.
  • Able to maintain customer confidentiality and work well within a team environment.
  • Experience communicating complex ideas to non-technical audiences.
  • Experience using Excel, SQL, R, Python, and/or Tableau for data analysis.
  • Excellent interpersonal, verbal and written communication skills; ability to communicate effectively at all levels both internally and externally.
  • Proficient in Microsoft Office and Adobe.

Recruitment Process Outlined:

  • 1st Stage - Intro Call with Talent Team 
  • 2nd Stage -  Interview/ Presentation SVP Of Marketing 

Inclusive Workplace

At Legends Global, we are committed to leading the entertainment industry towards a greener, faster, and more innovative digital future. There's never been a better time to join our team. We aim to be an inclusive organisation, trusted and admired by our colleagues, customers, and suppliers. Join us and make a significant impact from day one.

We are committed to active inclusion, diversity, and equal opportunities. This commitment begins with our recruitment and selection process. We welcome discussions about flexible working arrangements.

If you need reasonable adjustments at any stage of our recruitment process, please let us know in your application. We are dedicated to providing a fair and transparent assessment process and will do our utmost to accommodate your needs.

If you are interested in applying, we encourage you to submit your application as soon as possible to ensure it is considered. We will continue to review applications on a rolling basis and may close the advert before the closing date.


Related Jobs

View all jobs

Business Intelligence Manager

Business Intelligence Manager, Transatlantic

Business Intelligence Manager

Business Intelligence Manager

Business Intelligence Manager, Transatlantic

Senior Business Intelligence Manager - AI Team

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.