At a Glance
- Tasks: Lead AI-driven projects in commodities trading and digital transformation.
- Company: Join Aubay UK, a leader in innovative digital services.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Collaborate with top-tier talent in a fast-paced, transformative environment.
- Why this job: Make a real impact in the energy sector with cutting-edge AI solutions.
- Qualifications: Experience in business analysis and commodities trading is essential.
The predicted salary is between 72000 - 88000 £ per year.
Aubay UK is seeking an experienced Senior AI Business Analyst – Commodities Trading & Digital Transformation to support the expansion of AI-enabled products across a leading Trading & Supply organisation. This role will act as the bridge between business stakeholders and technology teams, translating complex trading, logistics, supply, risk, and commercial challenges into scalable digital and AI-driven solutions. The successful candidate will combine deep Business Analysis expertise with strong Commodities Trading knowledge and a solid understanding of AI, Machine Learning, and Generative AI technologies.
Working across multiple strategic initiatives, the Senior AI Business Analyst will partner with traders, schedulers, operators, commercial teams, Product Owners, Data Scientists, AI Engineers, and Developers to identify opportunities for AI adoption, define business requirements, and support the delivery of innovative digital products that create measurable business value.
Required Skills and Experience:
- Extensive IT Business Analysis experience within Commodities Trading or Energy Trading
- Strong understanding of Products Trading processes, trading operations, and commercial value chains
- Hands-on experience implementing, supporting, and scaling AI solutions within trading environments
- Experience working directly with traders, schedulers, operators, planners, and commercial stakeholders
- Experience supporting digital transformation, analytics, data, or AI initiatives
- Strong workshop facilitation, requirements gathering, and stakeholder management skills
- Experience working within Agile product delivery environments
- Experience with trading platforms (such as; Endur, Allegro, Openlink, RightAngle, SAP, Veson, or similar)
- Familiarity with trading data platforms and commodity risk management systems
- Experience translating business requirements into technology and data-driven solutions
- Understanding of AI, Machine Learning, Generative AI, and Large Language Model (LLM) capabilities
- Experience converting business problems into AI use cases and product opportunities
- Excellent communication, leadership, and influencing skills
Desired Skills and Experience:
- Experience within Refined Products Trading or Crude Trading businesses
- Experience with Risk Management, Exposure Management, Margin Analysis, and Trading Analytics
- Experience developing business cases and evaluating AI-enabled product opportunities
- Experience supporting product discovery, MVP definition, and product scaling activities
- Experience mentoring Business Analysts and contributing to capability development
- Knowledge of Front, Middle, and Back Office trading operations
Roles and Responsibilities:
- Lead business analysis activities across multiple AI, analytics, and digital transformation initiatives
- Gather, analyse, and document business requirements, user stories, business processes, and acceptance criteria
- Facilitate workshops with traders, operators, schedulers, planners, commercial teams, Product Owners, and technology stakeholders
- Analyse business challenges and identify opportunities to improve processes through AI and digital technologies
- Translate business needs into functional, technical, and AI solution requirements
- Support product discovery, business case development, MVP definition, and solution prioritisation
- Partner with AI Engineers, Data Scientists, and Developers to define and deliver AI-enabled products
- Evaluate the business value, feasibility, and adoption potential of AI and Generative AI solutions
- Create process maps, capability models, customer journeys, and business architecture artefacts
- Drive alignment between business, product, engineering, and data teams
- Support solution design, testing, validation, and business adoption activities
- Present recommendations, insights, and investment options to senior stakeholders
- Influence decision-making and help shape strategic technology roadmaps
- Lead analysis workstreams across multiple concurrent initiatives
- Mentor junior Business Analysts and promote best practices in business analysis and requirements management
Senior AI Business Analyst (Commodities Trading) employer: Aubay UK
Aubay UK is an exceptional employer, offering a dynamic work environment in the heart of the West Midlands, where innovation meets operational excellence. With a strong focus on employee growth and development, we provide opportunities for career advancement and the chance to lead impactful data initiatives within the financial services sector. Our collaborative culture encourages teamwork and accountability, ensuring that every team member feels valued and empowered to contribute to our success.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Business Analyst (Commodities Trading)
✨Get to Grips with Data Visualisation Tools
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✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Aubay UK!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace Senior AI Business Analyst (Commodities Trading)
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 Aubay UK, 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 Aubay UK
✨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 Aubay UK’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.
