At a Glance
- Tasks: Support a major ETRM transformation programme by analysing business processes and defining tech solutions.
- Company: Join Aubay UK, a leader in energy trading technology with a focus on innovation.
- Benefits: Enjoy competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on continuous improvement and career development.
- Why this job: Make a real impact in the energy sector while shaping future business processes.
- Qualifications: 7-10 years in IT Business Analysis, especially in energy trading and Agile environments.
The predicted salary is between 70000 - 90000 £ per year.
Aubay UK is seeking an experienced IT Business Analyst to support a major Energy Trading and Risk Management (ETRM) transformation programme focused on enhancing business processes, data capabilities, and technology platforms within Gas and Power trading operations.
The successful candidate will work closely with business stakeholders, Product Owners, delivery teams, and technology partners to capture requirements, analyse business processes, define solutions, and ensure successful delivery of business outcomes.
This role requires strong business analysis expertise, stakeholder management skills, and experience operating within Agile delivery environments.
The Business Analyst will play a key role in shaping future-state processes, ensuring traceability from business requirements through implementation and testing, while supporting the programme's objective of delivering a scalable, efficient, and future‑ready ETRM platform.
The role will also contribute to driving process optimisation, technology enablement, and business transformation across front, middle, and back‑office functions.
Required Skills and Experience
- 7–10 years of experience in Business Analysis within IT and technology delivery environments
- Experience working in energy trading domain
- Experience working with ETRM systems (Endur, Openlink, or similar)
- Experience working on Agile projects and delivering within Agile frameworks
- Strong understanding of Agile principles, tools, and methodologies
- Experience educating Product Owners, business stakeholders, and delivery teams on Agile ways of working
- Proven experience capturing and documenting functional and non-functional requirements
- Experience assessing business processes, data flows, and technology landscapes
- Strong business process modelling and business requirements management skills
- Experience creating business cases, cost-benefit analyses, and solution recommendations
- Strong stakeholder management and facilitation capabilities
- Experience coordinating and supporting User Acceptance Testing (UAT) and business validation activities
- Experience working with software vendors, developers, architects, and technical teams
- Ability to manage requirements traceability throughout the project lifecycle
- Experience leading large workshops, design sessions, and business analysis activities
- Experience planning and managing business analysis activities within agreed project timelines
- Experience leading teams and providing direction on business analysis deliverables and standards
- Bachelor’s degree in Information Technology or a related discipline
Desired Skills and Experience
- Experience supporting large-scale business and technology transformation programmes
- Understanding of energy trading operations across front, middle, and back-office functions
- Strong business process redesign, optimisation, and continuous improvement experience
- Experience working with complex stakeholder groups across business and technology functions
- Knowledge of data modelling, systems integration, and enterprise application landscapes
- Strong presentation, communication, and stakeholder engagement skills
- Experience leading or mentoring other Business Analysts
- Experience working within global enterprise environments undergoing digital transformation initiatives
Roles and Responsibilities
- Capture business problems, business objectives, value drivers, and requirements and translate them into effective solutions
- Gather and document functional and non-functional requirements
- Assess risks, feasibility, opportunities, and business impact of proposed solutions
- Analyse and model current business processes, data flows, and technology landscapes
- Identify opportunities for process improvement, automation, and optimisation
- Develop compelling business cases and support approval, funding, and prioritisation activities
- Create and maintain high-quality requirements documentation throughout the project lifecycle
- Ensure end-to-end traceability of requirements from business need through testing and implementation
- Work closely with software suppliers, architects, developers, and designers to ensure solutions meet business needs
- Understand system limitations and contribute to system and database design discussions
- Configure and document software solutions and business processes using agreed standards and tools
- Define acceptance criteria and coordinate testing activities
- Validate delivered solutions against business requirements
- Plan, execute, monitor, and control business analysis activities within agreed cost, schedule, and quality parameters
- Facilitate stakeholder workshops, design sessions, and requirements gathering activities
- Lead stakeholder management activities across business and technology teams
- Guide and mentor teams performing business analysis activities
- Set direction and standards for business analysis delivery
- Drive continuous improvement and recommend process enhancements
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StudySmarter Expert Advice🤫
We think this is how you could land IT Business Analyst (ETRM, Endur, Gas & Power)
✨Get Involved in Data Science Meetups
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We think you need these skills to ace IT Business Analyst (ETRM, Endur, Gas & Power)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Aubay UK, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Aubay UK. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Aubay UK
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Aubay UK!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
