At a Glance
- Tasks: Shape AI use cases from concept to production, bridging business and tech.
- Company: Join a leading firm in AI delivery for commercial operations.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and career advancement.
- Why this job: Make a real impact by driving AI initiatives and enhancing business processes.
- Qualifications: 7+ years in Business Analysis with Agile experience and strong analytical skills.
The predicted salary is between 70000 - 90000 € per year.
Aubay are seeking a Business Analyst to join our supermajor client's AI delivery team for Commercial Operations, acting as a shared capability across portfolios. The role focuses on shaping AI use cases from problem statement to production, enabling consistent intake, prioritisation, and value assessment, bridging business demand with AI delivery, governance, and IT processes, and preventing AI initiatives from stalling at PoC stage.
Required skills and experience:
- 7+ years of Business Analysis expertise, including requirements capture, functional/non-functional analysis, solution assessment, risk/impact evaluation and strong hands-on delivery exposure
- Experience working in Agile, iterative delivery environments
- Proficiency with JIRA, Confluence, Excel, SQL, and Power BI / Tableau
- Familiarity with AI‑adjacent tooling and concepts (e.g., document automation, agents, NLP, LLMs)
- Experience supporting data or AI solutions moving into production
- Bachelor’s or Master’s degree in IT, Business Administration, Data, or related field
- Ability to take initiative, adapt analysis approaches based on timelines and risk, and own deliverables end-to-end
Desired skills and experience:
- CBAP (Certified Business Analysis Professional) or PMI-PBA certification
- Agile certifications/trainings
- AI/automation use case storytelling and value articulation
- Change management and adoption planning
- Business process modelling and service design
- Experience working in federated or centralised capability models
- Exposure to Commercial Operations or Trading
AI Business Analyst employer: Aubay UK
Aubay is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration within the AI delivery team. With a strong emphasis on employee growth, we provide ample opportunities for professional development and skill enhancement, particularly in cutting-edge AI technologies. Our culture promotes agility and adaptability, ensuring that every team member can contribute meaningfully to impactful projects while enjoying a supportive and inclusive atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land AI Business Analyst
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to AI and business analysis. We recommend doing mock interviews with friends or using online platforms to get comfortable with articulating your experience and skills.
✨Tip Number 3
Showcase your expertise! Create a portfolio that highlights your past projects, especially those involving AI use cases. This will give potential employers a clear view of your capabilities and how you can add value to their team.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace AI Business Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Business Analyst role. Highlight your 7+ years of experience in business analysis and any relevant skills like JIRA, SQL, or Power BI. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your experience can help bridge business demand with AI delivery. Keep it engaging and personal – we love a good story!
Showcase Your Agile Experience:Since we work in Agile environments, make sure to highlight your experience in iterative delivery. Share specific examples of how you've adapted your analysis approaches based on timelines and risks. This will show us you can hit the ground running!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Aubay UK
✨Know Your AI Stuff
Make sure you brush up on AI concepts and tools relevant to the role. Familiarise yourself with document automation, NLP, and LLMs, as well as how they can be applied in commercial operations. This will show that you’re not just a Business Analyst but someone who understands the AI landscape.
✨Showcase Your Agile Experience
Since the role requires experience in Agile environments, be ready to discuss your past projects where you’ve used Agile methodologies. Prepare specific examples of how you’ve adapted your analysis approaches based on timelines and risks, and how you’ve contributed to iterative delivery.
✨Master the Tools
Get comfortable with JIRA, Confluence, Excel, SQL, and Power BI/Tableau before the interview. Be prepared to discuss how you’ve used these tools in your previous roles to capture requirements, assess solutions, and evaluate risks. Practical knowledge will set you apart from other candidates.
✨Articulate Value and Impact
Practice telling compelling stories about AI use cases you've worked on. Focus on how you assessed their value and impact, and how you prevented initiatives from stalling. This will demonstrate your ability to bridge business demand with AI delivery effectively.
