At a Glance
- Tasks: Lead business analysis for AI-driven solutions in commodities trading.
- Company: Join a major player in the oil and gas sector with a focus on innovation.
- Benefits: Competitive pay, flexible work schedule, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on digital transformation and AI initiatives.
- Why this job: Make an impact by bridging business and technology in a dynamic trading environment.
- Qualifications: Experience in commodities trading and strong analytical skills required.
The predicted salary is between 63000 - 77000 £ per year.
- Senior Business Analyst (AI & Commodities Trading)
- Duration: 4 months
- Kingdom
- Work
Schedule: Monday – Friday (3 days in the office, 2 days at home) Start date: ASAP Pay rate: to be discussed
Position Overview
Our client is seeking an experienced Senior Business Analyst (AI & Commodities Trading) to support the expansion of AI-enabled products within a global commodities trading environment.
The successful candidate will act as the bridge between business stakeholders and technology teams, translating complex trading and commercial challenges into innovative digital and AI-driven solutions.
This role offers the opportunity to work closely with traders, schedulers, commercial teams, product owners, engineers, and data scientists on strategic initiatives that drive business value and operational excellence.
The ideal candidate will bring deep expertise in Commodities Trading, Products Trading, Supply & Distribution, Logistics, Risk Management, and Commercial Optimization, combined with experience delivering digital transformation and AI-related initiatives.
Key Responsibilities
- Business Analysis Leadership
- Lead discovery workshops, requirements gathering, process modelling, and business analysis activities across strategic initiatives.
- Translate business challenges and opportunities into clear functional and technical requirements.
- Define user stories, process flows, capability maps, acceptance criteria, and business outcomes.
- Facilitate workshops with traders, operators, schedulers, planners, commercial teams, and technology stakeholders.
- Ensure alignment across business, product, engineering, and data teams throughout the delivery lifecycle.
- Support Agile product development and continuous improvement initiatives.
- AI & Digital Product Enablement
- Identify opportunities to leverage AI, Generative AI, and advanced analytics within trading and commercial workflows.
- Collaborate with AI engineers, data scientists, and developers to design and implement AI-enabled solutions.
- Support product discovery, MVP definition, testing, adoption, and scaling of successful AI products.
- Translate business use cases into requirements suitable for Machine Learning and Large Language Model (LLM) solutions.
- Evaluate business value, adoption opportunities, and operational impact of AI initiatives.
- Commodities Trading Expertise
- Provide analysis and subject matter expertise across areas including: Crude Trading Refined Products Trading Deal Capture & Trade Lifecycle Management Commercial Operations Scheduling & Logistics Inventory Management Supply & Distribution Blending & Optimization Risk & Exposure Management Margin & P&L Analysis Trading Analytics & Decision Support Front, Middle, and Back Office Processes
- Stakeholder Management
- Build trusted relationships with stakeholders across Trading & Supply, Commercial, Technology, and Product organizations.
- Effectively communicate with both technical and non-technical audiences.
- Influence decision-making and drive alignment across multiple teams and workstreams.
- Manage competing priorities while supporting multiple strategic initiatives.
- Leadership & Mentoring
- Provide guidance and mentoring to Business Analysts and project team members.
- Promote business analysis best practices and standards.
- Contribute to capability development within the BA community.
- Act as a trusted advisor on complex business and technology initiatives.
- Required Experience
- Extensive Business Analysis experience within Commodities Trading, Energy Trading, or Trading & Supply environments.
- Strong understanding 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 programs.
- Strong requirements gathering, workshop facilitation, and stakeholder engagement skills.
- Experience working within Agile delivery environments.
- Excellent communication, leadership, and influencing skills.
- Experience delivering AI, Machine Learning, Advanced Analytics, or data-driven business solutions.
- Understanding of Generative AI, Large Language Models (LLMs), and AI-enabled product development.
- Experience translating business requirements into AI and analytics use cases.
- Preferred Experience
- Experience with one or more of the following platforms and technologies: Endur Allegro Openlink Right Angle SAP Veson Trading Data Platforms Commodity Risk Management Systems (CTRM / ETRM) Critical Success Factors
- Critical Success Factors
- The successful candidate will: Demonstrate strong credibility within Commodities and Products Trading.
- Quickly understand complex business challenges and identify practical solutions.
- Effectively bridge the gap between business stakeholders and technical teams.
- Drive AI adoption through high-value business use cases.
- Manage analysis activities across multiple initiatives simultaneously.
- Exhibit strong commercial awareness, strategic thinking, and leadership capabilities.
About the Company
This company is a major operator in the oil and gas sector and one of the North Sea’s largest producers, supplying a significant share of the United Kingdom’s oil and gas needs.
The company is expected to continue playing an important role in the UK energy system, including supporting customer decarbonisation.
#J-18808-Ljbffr
Senior Business Analyst (AI & Commodities Trading) employer: Airswift
Join a forward-thinking company in the oil and gas sector, where as a Principal Structural Engineer in Aberdeen, you will thrive in a supportive work culture that values innovation and collaboration. Enjoy competitive benefits, opportunities for professional development, and the chance to work on impactful projects that shape the industry. With a focus on safety and ethics, this role offers a meaningful career path in a vibrant location known for its engineering excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Business Analyst (AI & Commodities Trading)
✨Join Business Intelligence Meetups
We can’t stress enough how beneficial it is to attend local Business Intelligence meetups and events. These gatherings often bring together industry professionals and can lead to short-term, temporary roles—perfect if you’re looking to land something quickly. Plus, you’ll get to learn some insider tips and tricks from those already in the game!
✨Leverage Online Freelancing Platforms
Since you’re searching for a temporary gig, check out freelancing platforms like Upwork or Freelancer where businesses often post short-term BI projects. This can be a great way to build your portfolio and gain experience while also showcasing your skills to potential future employers.
✨Show Off Your BI Projects
Whether you’re working on a personal project or a past endeavour, put your work out there! Create a public portfolio that highlights your best Business Intelligence analyses or visualisations. It’ll give you a leg up when you’re approaching companies like Airswift, showing exactly what you can bring to the table.
✨Tap Into University or College Networks
If you're currently studying or recently graduated, make sure to use your university's career services. Many educational institutions have partnerships with companies looking for temporary talent in Business Intelligence, so keep an eye out for exclusive job postings or internship fairs that could lead to a quick placement.
We think you need these skills to ace Senior Business Analyst (AI & Commodities Trading)
Some tips for your application 🫡
Show Off Your Data Skills:In business intelligence, it's crucial to highlight your analytical skills and experience with data tools. Make sure your CV showcases any relevant software you’ve used, like SQL, Tableau, or Power BI. Add specific examples of how you've used data to drive insights or improvements in previous roles, even if they were in academic projects or internships.
Keep it Concise and Impactful:For a temporary role like this, hiring managers often have limited time to sift through applications. Get straight to the point in your CV and cover letter. Use bullet points for your achievements, showcasing the impact you've made, like percentage increases in efficiency or specific results from your analyses.
Flexibility is Key:Since this is a temporary position, make sure to emphasise your adaptability. Mention your quick learning abilities and experiences where you adapted to new tools or processes rapidly. This will show that you can jump in and start contributing effectively from day one at Airswift.
Craft a Tailored Motivation Statement:In your cover letter, focus on why you’re excited about this temporary role at Airswift. Talk about your interest in business intelligence and how this position aligns with your career goals. Remember, it’s not just about what you can offer, but why you’re passionate about becoming part of their team, even for a short time!
How to prepare for a job interview at Airswift
✨Brush Up on Your Data Skills
For a business intelligence role, you'll want to showcase your analytical skills and familiarity with data visualisation tools like Tableau or Power BI. Be ready to tackle technical questions or case studies demonstrating your ability to interpret data and make insightful recommendations.
✨Plan Your Portfolio of Projects
Since this is a temporary position, we should highlight any past projects you've worked on in business intelligence. Prepare a portfolio that includes a couple of key pieces where you've effectively utilised data to drive decisions—this will show that you're not just a quick fix but someone who can deliver immediate value.
✨Demonstrate Your Adaptability
Temporary roles often require us to hit the ground running, so be ready to discuss how you quickly adapt to new tools, teams, and environments. Share specific examples from previous experiences where you thrived under pressure or had to learn a new system or process in a short time frame.
✨Have Your Metrics Ready
In business intelligence, quantifying your impact is key. Come prepared to share metrics from your past work: think percentages, growth figures, or efficiency improvements. This will really help us paint a picture of how your contributions directly benefited those previous roles.
