Artificial intelligence Business Analyst in London

Artificial intelligence Business Analyst in London

London Full-Time 50000 - 65000 € / year (est.) Home office (partial)
JCDecaux UK

At a Glance

  • Tasks: Identify AI opportunities and support their implementation to drive business change.
  • Company: Join JCDecaux UK, a leader in outdoor advertising with a focus on innovation.
  • Benefits: Flexible working, inclusive culture, and opportunities for personal growth.
  • Other info: Diverse team environment that values creativity and employee well-being.
  • Why this job: Be the bridge between business and tech, making a real impact with AI solutions.
  • Qualifications: Degree in relevant field and experience in AI or analytics projects.

The predicted salary is between 50000 - 65000 € per year.

The AI Business Analyst is responsible for identifying, shaping and supporting the delivery of AI enabled business change across JCDecaux UK. The role focuses on understanding business objectives and pain points, translating them into clear AI and data use cases, and working with technical teams to ensure successful implementation and adoption of AI solutions. Acting as a bridge between business and IT, the AI Business Analyst helps prioritise and govern AI initiatives, ensuring they deliver measurable value and align with strategic goals. The role plays a key part in embedding JCDecaux UK’s vision and mission by using AI, data and automation to drive growth, efficiency and high service levels for internal and external stakeholders.

What you’ll be doing...

  • Work with business stakeholders to identify opportunities where AI and advanced analytics can add value, and maintain an AI opportunity pipeline with value, risk and dependencies.
  • Facilitate workshops, interviews and discovery sessions to elicit business problems, desired outcomes and success measures, turning them into well-defined AI use cases and requirements.
  • Elicit, analyse and document business, functional and non-functional requirements, producing artefacts such as BRDs, user stories, process maps and data requirements for data and engineering teams.
  • Assess feasibility, value and impact of AI initiatives, contributing to business cases and supporting prioritisation across the IT and transformation portfolio.
  • Analyse “as is” processes and design “to be” AI-enabled processes that embed models, decision support and automation in a controlled, measurable way.
  • Define business data requirements, support data discovery and profiling, and contribute to documentation that improves data transparency and reuse.
  • Support solution design, proofs of concept, pilots and business-facing testing (including UAT and validation of model outputs), capturing feedback to refine solutions.
  • Act as liaison between business units and technical teams, managing stakeholder expectations and communicating progress, risks and outcomes to all levels, including senior management.
  • Support project and change management activities, including planning, RAID management, adoption strategies, training materials and user training for AI-enabled changes.
  • Define and monitor KPIs and success metrics for AI initiatives, review performance to identify optimisation opportunities, and contribute to continuous improvement of AI delivery practices and standards.

A little bit about you...

  • Degree in Business, Computer Science, Data Science, Engineering, Mathematics or a closely related discipline.
  • Solid experience as a Business Analyst, ideally with direct involvement in AI, machine learning or advanced analytics projects.
  • Strong experience in requirements elicitation, analysis, process mapping and documentation in complex, multi-stakeholder environments.
  • Proven experience working with data-focused teams (data scientists, data engineers, analysts) and understanding their methods, tools and constraints.
  • Familiarity with agile delivery methods (e.g. Scrum, Kanban) and tools such as Jira or Azure DevOps.
  • Strong analytical and problem-solving skills, able to quickly understand business domains, processes and data landscapes.
  • Ability to translate complex technical and statistical concepts into clear, business-friendly language for non-technical stakeholders.
  • Excellent communication, facilitation and stakeholder management skills, including running workshops and presenting to senior audiences.

Desired but not essential…

  • Business analysis and/or project qualifications (e.g. BCS BA, IIBA CBAP/CCBA, Agile BA, PRINCE2, Scrum, PMI PBA).
  • Training or certification in data analytics, AI or machine learning.
  • Exposure to cloud-based data and AI platforms (e.g. Azure, AWS, GCP) and BI tools (e.g. Power BI, Tableau).
  • Experience supporting change management, training and adoption for technology-driven initiatives.
  • Experience in media, advertising or related sectors.

A little bit more about us...

We believe in building a diverse and inclusive culture and positive employee experience. We are One Team, more than just ourselves. We are customer first, we understand, and help solve our customers’ problems. We Test & Learn, we are empowered to learn and grow, unafraid of change. We choose to care, we are committed to doing the right thing, the right way.

It’s really important to us that we give as much to our colleagues as they give to us. Our latest Belonging Survey showed that our colleagues feel valued and listened to as we continue to build an environment where everyone can thrive, grow, belong and be their authentic selves. We believe that diversity of thought, experience and background provides the platform for great creativity. We are committed to equal employment opportunities regardless of race, colour, ancestry, religion, national origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Many of our colleagues work flexibly in many different ways. Please talk to us at interview about the flexibility you need. We can’t promise to give you exactly what you want, but we do promise not to judge you for asking.

Artificial intelligence Business Analyst in London employer: JCDecaux UK

At JCDecaux UK, we pride ourselves on fostering a diverse and inclusive work culture that empowers our employees to thrive and grow. As an AI Business Analyst, you will play a pivotal role in driving meaningful change through innovative AI solutions, while enjoying flexible working arrangements and opportunities for professional development. Our commitment to employee well-being and continuous improvement ensures that you will be valued and supported as you contribute to our mission of delivering exceptional service and value to our stakeholders.

JCDecaux UK

Contact Detail:

JCDecaux UK Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Artificial intelligence Business Analyst in London

Tip Number 1

Network like a pro! Reach out to people in the industry, attend events, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

Tip Number 2

Prepare for interviews by practising common questions and scenarios related to AI and business analysis. Use the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your problem-solving skills.

Tip Number 3

Showcase your passion for AI and data! During interviews, share examples of how you've used AI to solve real business problems or improve processes. This will demonstrate your understanding and commitment to the field.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at JCDecaux UK.

We think you need these skills to ace Artificial intelligence Business Analyst in London

Business Analysis
AI and Advanced Analytics
Requirements Elicitation
Process Mapping
Documentation Skills
Stakeholder Management
Data Analysis

Some tips for your application 🫡

Know Your Stuff:Before you start writing your application, make sure you understand the role inside out. Familiarise yourself with AI, data use cases, and how they can drive business change. This will help you tailor your application to show that you’re the perfect fit for us.

Be Clear and Concise:When you're putting together your application, keep it straightforward. Use clear language to explain your experience and how it relates to the job. We want to see how you can bridge the gap between business and IT, so make sure your skills shine through!

Showcase Your Experience:Highlight any relevant projects or roles you've had, especially those involving AI or advanced analytics. We love seeing real examples of how you've tackled challenges and delivered value, so don’t hold back on sharing your successes!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our team at StudySmarter!

How to prepare for a job interview at JCDecaux UK

Know Your AI Stuff

Make sure you brush up on the latest trends in AI and advanced analytics. Understand how these technologies can solve business problems, as you'll need to translate complex concepts into simple terms for non-technical stakeholders.

Master the Art of Requirements Elicitation

Prepare to showcase your skills in gathering and documenting requirements. Think about examples where you've successfully facilitated workshops or interviews to uncover business needs and how you turned them into actionable use cases.

Showcase Your Stakeholder Management Skills

Be ready to discuss how you've managed expectations and communicated progress with various stakeholders. Highlight any experience you have presenting to senior management and how you’ve navigated complex multi-stakeholder environments.

Demonstrate Your Agile Mindset

Familiarise yourself with agile methodologies like Scrum or Kanban. Be prepared to talk about how you've applied these methods in past projects, especially in relation to AI initiatives, and how they helped drive successful outcomes.