Business Analyst Consultant (Energy)

Consult; Greater London; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

International Tech Services Co in London 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 and help shape practical AI-enabled use cases that deliver measurable value.

The role involves leading discovery, documenting requirements, and aligning stakeholders across business and technology to enable

Qualifications

• 3+ years’ Business Analyst experience in the energy sector (oil, power, and/or gas).
• 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.

Responsibilities

• Lead discovery to clarify business goals, scope, constraints, and success metrics for energy pricing and data initiatives.
• Elicit, analyze, and document requirements using 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 with both business and technical audiences, translating technical detail into commercial impact and vice versa.
• Demonstrate value quickly by delivering high-quality outputs early (requirements packs, aligned stakeholders, reduced ambiguity, accelerated delivery).

Skills

Energy domain knowledge

BA experience

AI/ML project exposure

Stakeholder management

Clear communication

Job description

Business Analyst (Energy Pricing Data & AI/ML)

International Tech Services Co

London, UK (Hybrid)

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).
• - 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.

International Tech Services Co is an equal opportunity employer. We welcome applications from all qualified candidates and make hiring decisions without regard to background, identity, or personal characteristics.

Required Skills

business analysis energy sector pricing data requirements elicitation ai/ml stakeholder management