AI Business Analyst

AI Business Analyst

Full-Time 70000 - 98000 £ / year (est.) No working from home possible
Dormont Manufacturing Co

At a Glance

  • Tasks: Identify AI opportunities and support their implementation to drive business change.
  • Company: Join JCDecaux UK, a leader in innovative advertising solutions.
  • Benefits: Flexible working, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative environment with a commitment to diversity and inclusion.
  • Why this job: Be at the forefront of AI transformation and make a real impact on business efficiency.
  • Qualifications: Degree in a relevant field and 7 years' experience in business analysis, preferably with AI projects.

The predicted salary is between 70000 - 98000 £ 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.
  • At least 7 years’ 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.

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.

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.

AI Business Analyst employer: Dormont Manufacturing Co

At JCDecaux UK, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our commitment to employee growth is evident through continuous learning opportunities and the chance to work on cutting-edge AI initiatives that drive meaningful business change. Located in a vibrant environment, we offer flexible working arrangements and a diverse, inclusive atmosphere where every voice is valued, making it an ideal place for professionals seeking to make a significant impact.

Dormont Manufacturing Co

Contact Details:

Dormont Manufacturing Co Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Business Analyst

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We think you need these skills to ace AI Business Analyst

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

Some tips for your application 🫡

Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.

Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.

Tailor Your Documents for Us:When applying for a full-time role at Dormont Manufacturing Co, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!

Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.

How to prepare for a job interview at Dormont Manufacturing Co

Show off your analytical skills

In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!

Practice your technical know-how

Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.

Portfolio of Projects

Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.

Know their business model

Get familiar with Dormont Manufacturing Co’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.