Energy Trading BA

Business Analyst (Energy Pricing Data & AI​/​ML) International Tech Services Co London, UK (Hybrid) Contract engagement - 3d/week Role Summary International Tech Services Co is seeking a Business Analyst Consultant with strong energy-sector knowledge and hands-on experience delivering pricing data initiatives, complemented by exposure to AI​/​ML projects. You will translate business needs into clear, actionable requirements, align stakeholders across business and technology, and help shape practical AI-enabled use cases that deliver measurable value. Key Responsibilities

• Lead discovery to clarify business goals, scope, constraints, and success metrics for energy pricing and data initiatives.
• Elicit, analyze, and document requirements using appropriate artefacts (e.g., user stories, process maps, data mappings, acceptance criteria).
• Partner with business stakeholders to define pricing data needs, definitions, and governance expectations across oil, power, and gas contexts.
• Collaborate with data​/​engineering teams to translate business requirements into implementable technical requirements and delivery plans.
• Support AI​/​ML initiatives by shaping use cases, defining inputs​/​outputs, documenting assumptions, and aligning stakeholders on feasibility and value.
• Facilitate workshops and working sessions, ensuring clear decisions, ownership, and follow-through.
• Communicate clearly and confidently with both business and technical audiences, translating technical detail into commercial impact and vice versa.
• Demonstrate value quickly by delivering high-quality outputs early (e.g., clear requirements packs, aligned stakeholders, reduced ambiguity, accelerated delivery). Must-Have Qualifications
• 3+ years' Business Analyst experience in the energy sector (oil, power, and​/​or gas).
• Strong experience delivering pricing data projects (e.g., pricing data models, feeds, definitions, reporting​/​analytics enablement, data quality).
• At least 1 year of experience on AI​/​ML-related projects (e.g., supporting model use cases, requirements, data readiness, stakeholder alignment).
• Proven ability to establish credibility with both business stakeholders and technical teams.
• Excellent communication skills with a track record of producing clear, structured documentation and facilitating productive discussions. Nice-to-Have Qualifications
• Experience working with cross-functional teams on data platforms, analytics, or modern data stacks.
• Familiarity with data governance concepts (definitions, lineage, quality controls, stewardship).
• Experience in consulting environments or fast-moving client-facing delivery. What Success Looks Like
• In the first days and weeks, you quickly build trust by demonstrating strong energy-domain knowledge and technical understanding.
• Stakeholders align faster because requirements are crisp, decisions are documented, and ambiguity is reduced.
• Delivery teams can execute efficiently because artefacts are complete, testable, and prioritized.
• AI​/​ML work is grounded in practical, value-led use cases with clear data and acceptance expectations. Selection Criteria (How We Will Evaluate)
• Energy pricing domain depth and ability to apply it to real delivery scenarios.
• Quality of BA outputs (requirements clarity, structure, testability, and completeness).
• Stakeholder management and workshop facilitation effectiveness.
• Ability to translate between business objectives, pricing data needs, and technical implementation.
• Practical AI​/​ML project experience and ability to define feasible, valuable use cases.
• Pace to productivity and demonstrated ability to be valuable quickly in a hybrid London setting. Equal Opportunity Please get in touch with us on info@projectbrains.io