At a Glance
- Tasks: Lead business analysis for AI-enabled products in commodities trading.
- Company: Join a world-leading Energy company transforming the future of energy.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Collaborate with top industry professionals and drive impactful change.
- Why this job: Be at the forefront of energy innovation and AI technology.
- Qualifications: Extensive experience in business analysis and commodities trading required.
The predicted salary is between 63000 - 77000 £ per year.
Exciting opportunity for a Senior Business Analyst – AI & Commodities Trading to join this global Energy company. This is an exciting time to join this world-leading Energy company as it evolves from a traditional Oil & Gas enterprise into a future-focused Energy leader. This transformation includes the establishment of a highly successful new Power Trading desk within the Energy Trading team and ventures into cutting-edge solutions that address the evolving demands of the Energy sector. These initiatives include advanced Gas infrastructure, LNG technology, effective Energy Storage systems and Green Energy solutions.
Role Overview
You will be a highly experienced Senior Business Analyst to support the expansion of AI-enabled products within the Products Trading organisation. The successful candidate will be responsible for bridging business and technology teams, translating complex commodities trading business challenges into digital and AI-enabled solutions. This role requires a seasoned Business Analyst with strong knowledge of Commodities Trading, Products Trading, Supply & Distribution, Logistics, Risk Management, and Commercial optimisation. Experience working on AI, data, analytics, or digital transformation initiatives is highly desirable.
Key Responsibilities
- Lead discovery, analysis, process modelling and requirements definition activities across multiple strategic initiatives.
- Translate business opportunities and operational challenges into actionable functional and technical requirements.
- Facilitate workshops with traders, schedulers, operators, commercial teams, product owners and technology teams.
- Define user stories, business processes, capability maps, acceptance criteria and business outcomes.
- Drive solution alignment across business, product and engineering teams.
Commodities & Products Trading Expertise (Good To Have)
- Provide subject matter expertise and analysis across areas such as:
- Refined Products Trading
- Crude Trading
- Deal Capture & Trade Lifecycle Management
- Commercial Operations
- Scheduling & Logistics
- Inventory Management
- Supply & Distribution
- Blending & Optimisation
- Risk & Exposure Management
- Margin & P&L Analysis
- Trading Analytics & Decision Support
- Front, Middle and Back Office Processes
AI & Digital Product Enablement (Must Have)
- Identify opportunities to leverage AI and Generative AI capabilities within trading and commercial workflows.
- Work closely with AI engineers, data scientists, and developers to define and deliver AI-enabled solutions.
- Support product discovery, MVP definition, and scaling of successful AI products.
- Translate business use cases into requirements suitable for AI and Large Language Model (LLM) based solutions.
- Evaluate business value and adoption opportunities for AI-enabled products.
Stakeholder Management (Must Have)
- Partner with senior stakeholders across Trading & Supply, Products, Commercial and Technology organisations.
- Build trusted relationships across global teams.
- Communicate effectively with both business and technical audiences.
- Influence decision-making and drive alignment across multiple delivery teams.
Essential Experience (Must Have)
- Extensive Business Analysis experience within Commodities Trading or Energy Trading environments.
- Strong knowledge of Products Trading business processes and value chains.
- Proven experience working directly with traders, operators, schedulers, planners and commercial stakeholders.
- Experience supporting large-scale digital transformation initiatives.
- Strong stakeholder management and workshop facilitation skills.
- Experience working within Agile product delivery environments.
- Excellent communication and leadership capabilities.
AI & Data (Must Have)
- Experience delivering AI, Machine Learning or Advanced Analytics solutions.
- Understanding of Generative AI and Large Language Models (LLMs).
- Experience converting business requirements into AI use cases.
- Familiarity with AI product lifecycles and adoption challenges.
Leadership & Mentoring (Good To Have)
- Provide guidance and coaching to junior and mid-level Business Analysts.
- Establish best practices for business analysis and requirements management.
- Contribute to capability development within the BA community.
- Act as a trusted advisor on complex business and technology initiatives.
Senior Business Analyst – AI & Commodities Trading: World Energy Co employer: Eaglecliff Recruitment
Eaglecliff Recruitment is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of Greater London. Employees benefit from extensive professional growth opportunities, competitive remuneration, and a supportive environment that values work-life balance, making it an ideal place for those seeking meaningful and rewarding careers in project management.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Business Analyst – AI & Commodities Trading: World Energy Co
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We think you need these skills to ace Senior Business Analyst – AI & Commodities Trading: World Energy Co
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 Eaglecliff Recruitment, 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 Eaglecliff Recruitment
✨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!
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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 Eaglecliff Recruitment’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.
