Senior Product Data Analyst - Energy Storage
Summary
Develops and refines Aurora’s energy analytics platform by analyzing large datasets, validating model outputs, and collaborating with cross-functional teams to improve product features for global energy clients.
Aurora’s Software Solutions team is building the global investment analytics platform for the energy transition. It is a seamlessly integrated suite of software products allowing our users to value and benchmark any asset or portfolio, under any business model and market scenario, anywhere in the world. Widely adopted by leading energy companies and investors, the platform changes the way that energy market analytics is performed and delivered.
Based in Oxford, you will contribute to developing Aurora's growing suite of software solutions, used by leading companies across the energy sector. You will help customers implement their projects on our platform and collaborate with various Aurora teams to improve the product and increase adoption. You will work with large datasets and support the deployment of our services across many different countries.
You will help shape a platform that energy professionals can use intuitively and that agents can navigate seamlessly — raising the bar for how Aurora's models are accessed, understood, and acted on. The ideal profile will combine analytical rigour and comfort working in technically complex domains with a genuine interest in product quality, user experience, and cross-functional collaboration. They will work in a dynamic, intellectually stimulating, demanding and collaborative environment. They will gain a deep understanding of the energy industry and product management skills, working at the forefront of the global energy transformation.
The position suits a recent graduate of a bachelor's or master's degree or someone with 1.5-3 years of experience in a technical, analytical, or product-facing role within energy, software, or data-heavy environments. Job grade will depend on skills and previous experience.
- Become a subject matter expert in battery investment case evaluation, including the logic and assumptions underlying Aurora’s internal models
- Work closely with modellers, software engineers, and research analysts to translate user needs and capability gaps into well-defined requirements and user stories, and support delivery of solutions
- Define acceptance criteria and review test evidence to ensure that solutions delivered meet end users' expectations
- Apply advanced analytics techniques (e.g. statistical analysis, visualisation, sensitivity testing) to interrogate, validate and interpret model outputs
- Monitor product performance by analysing adoption metrics and client usage patterns
- Create lightweight exploratory artefacts (mock ups, sample charts, working notes) to clarify ambiguous questions with project stakeholders and collect client feedback
- Support internal and external clients by answering technical product queries, investigating model behaviour, and gathering structured feedback to improve the user experience
- Act as a point of contact for regional teams and internal stakeholders synthesising feedback across markets
- Drive alignment across teams on how model capabilities are defined, documented, and consumed, ensuring a consistent and seamless experience for users
- Share learnings across Aurora's software team, and contribute to building a culture of rigorous, insight-driven product development, including using AI tools to improve the quality, speed or scope of professional work
Required attributes:
- Bachelor’s degree and evidence of strong academic performance (First, 2:1 or similar) in a quantitative or technical discipline
- 1.5–3 years of relevant experience with evidence of independent problem-solving and feature-level ownership, in an analytical, software, consulting, or product-facing
- Demonstrated ability to analyse, interpret, and explain complex quantitative or interconnected problems, including the assumptions and evidence underlying conclusions
- Ability to independently interrogate quantitative evidence using code, analytical software, or reproducible AI-assisted workflows, and to inspect the reasoning and outputs produced
- Strong interest in energy and power markets
- Evidence of strong performance in team-oriented environments and project management
- Strong communication skills and the ability to adapt your communication style for technical and non-technical audiences
- Fast learner and self-starter: curious, quick to take ownership and eager to take on responsibility early
- Practical experience using AI tools to improve the quality, speed or scope of professional work or a substantial independent project
- A collaborative, mission-driven environment focused on transforming the global energy transition
- A fun, informal, collaborative, and international work culture
- A competitive salary package
- Access to regular coaching and mentoring sessions, and the opportunity to learn from experienced professionals
Some of the benefits we include are:
- Private Medical Insurance
- Dental Insurance
- Parental Support
- Salary-Exchange Pension
- Employee Assistance Programme (EAP)
- Local Oxford Discounts
- Cycle-to-work Scheme
- Flu Jabs
At AER, we are committed to offering flexibility in the way we work. Most of our roles are hybrid with a mix of in-office/home working and potentially adjustable working hours. Let’s discuss what works for you and AER during the interview process.
The Company is committed to the principle that no employee or job applicant shall receive unfavourable treatment on grounds of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage or civil partnership, pregnancy, and maternity.
To apply, please submit your Résumé / CV, a personal summary, your salary expectations and please inform us of your notice period.
Unfortunately, we are unable to accept applications via email, telephone, or social media platforms. To be considered for this position, please submit your application using the link provided. Applications submitted through any other channel will not be reviewed.
Unfortunately, we are unable to accept applications via email, telephone, or social media platforms. To be considered for this position, please submit your application using the link provided. Applications submitted through any other channel will not be reviewed.