Business Analyst

We are looking for an experienced, outcome-driven Business Analyst to support the delivery of Dynamic Line Rating, Digital Twin and Network Design capabilities within the energy transmission environment.

This role requires someone who can operate beyond traditional requirements gathering. The ideal candidate will bring strong core BA competencies, the ability to work with engineering and data teams, and the confidence to turn complex operational needs into clear product outcomes, data-driven decisions, process visibility and measurable business value.

You will work closely with Product Owners, Product Managers, engineers, architects, data teams, operational SMEs and delivery teams to shape requirements, improve processes, define product features, strengthen governance, and create visibility across delivery, decisions and outcomes.

• Work with Product Owner, Product Manager and business SMEs to define clear product outcomes for DLR, Digital Twin and Network Design capabilities.
• Lead requirement discovery, stakeholder interviews, workshops and refinement sessions.
• Translate complex engineering, operational and business needs into epics, user stories, acceptance criteria and delivery-ready backlog items.
• Ensure requirements are traceable from business objective to product feature, data need, process change and measurable benefit.
• Support prioritisation by assessing value, risk, complexity, dependency and operational impact.
• Work closely with solution architects, data engineers, testers and developers to ensure requirements are understood and delivered correctly.

• 12–15 years of Business Analysis experience, ideally in energy, utilities, asset management or complex engineering environments.
• Strong understanding of Business Analysis services
• Experience working on data-heavy products, engineering platforms, digital twins, analytics products or operational decision-support tools.
• Strong Agile delivery experience, including epics, user stories, acceptance criteria, refinement and backlog management.
• Excellent process mapping skills using tools such as Visio, or similar.
• Strong data analysis mindset, with ability to define KPIs, reporting needs, business rules and decision criteria.
• Experience working with cross-functional teams including Product Owners, architects, engineers, developers, testers and data teams.
• Ability to create executive-ready documentation, options papers, decision packs and product artefacts.
• Strong stakeholder management and communication skills.
• Confident facilitator who can lead workshops and bring structure to ambiguity.

• Identify what data is required to support better operational and planning decisions.
• Work with data analysts and engineering SMEs to validate data quality, source systems, assumptions and business rules.
• Support the creation of evidence-based recommendations for product and process improvements.
• Ensure decisions are supported by facts, trends, operational evidence and measurable impact.

• Map current-state and future-state processes across DLR, Digital Twin and Network Design workflows.
• Identify process gaps, handoff issues, manual workarounds, duplication and control weaknesses.
• Create clear process documentation, SOPs, runbooks, operating models and user guidance.
• Improve visibility of delivery status, decision points, dependencies, risks and business outcomes.
• Support governance forums with clear analysis packs, decision logs, RAID updates and executive-level summaries.

• Engage confidently with technical and non-technical stakeholders across engineering, operations, asset management, data, digital and delivery teams.
• Facilitate alignment between business users, SMEs, product teams and technology delivery teams.
• Challenge constructively where requirements are unclear, assumptions are weak, or value is not defined.
• Communicate complex topics in a simple, structured and business-friendly way.
• Support senior stakeholders with concise updates, options analysis and recommendation papers.
• Support effective backlog management and refinement with the Product Owner.

• Build trusted relationships with engineering, digital, data and business stakeholders.