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Senior Product Data Analyst

Aurora Energy Research

Oxford

Hybrid

GBP 40,000 - 70,000

Full time

30+ days ago

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Job summary

An innovative firm is seeking a Senior Product Data Analyst to join their dynamic Software Solutions team in Oxford. This role involves contributing to the development of a global investment analytics platform for the energy sector, working with large datasets, and collaborating with various teams to enhance product offerings. The ideal candidate will have a strong background in data analysis and product management, along with a passion for energy transformation. Join a collaborative environment where your insights will drive impactful solutions in the energy market.

Benefits

Private Medical Insurance
Dental Insurance
Parental Support
Salary-Exchange Pension
Employee Assistance Programme
Local Oxford Discounts
Cycle-to-work Scheme
Flu Jabs

Qualifications

  • 1-2 years experience in data analysis or product development.
  • Strong academic performance in a quantitative discipline.

Responsibilities

  • Become a subject matter expert in your area of work.
  • Collaborate with cross-functional teams for product delivery.
  • Apply advanced analytics techniques to validate model outputs.

Skills

Data Analysis
Product Management
Statistical Analysis
Communication Skills
Interest in Energy Markets

Education

Bachelor's Degree in Quantitative Discipline

Tools

Python
R
MATLAB

Job description

This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board.

Senior Product Data Analyst

Department: Software Solutions

Employment Type: Permanent - Full Time

Location: Oxford, UK

Description

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 to implement their projects on our platform and collaborate with many different 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.

Successful candidates will combine a passion for global energy transformation with a strong interest in product management and advanced data analytics. 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 someone with 1-2 years of experience in a technical, analytical or product-facing role, ideally within energy, software, or data-heavy environments.

Key Responsibilities

  • Become a subject matter expert in the area you work on (e.g. storage, solar, wind, or market modelling), including the logic and assumptions underlying Aurora's internal models
  • Collaborate with Product Managers and cross-functional teams of software engineers, modellers, and research analysts as part of continuous product discovery and delivery
  • Contribute to product backlog refinement by gathering evidence and defining requirements for high-value recurring client issues, usability gaps, or additions to modelling features
  • Define tests to ensure that model updates and features meet quality expectations before client release
  • Apply advanced analytics techniques (e.g. statistical analysis, visualisation, sensitivity testing) to help interrogate, validate, and interpret model outputs
  • Support internal and external clients by answering technical product queries, analysing model behaviour, and gathering structured feedback
  • Monitor product performance by analysing adoption metrics and client usage patterns
  • Share learnings across Aurora's software team, and contribute to building a culture of rigorous, insight-driven product development

What we are looking for

  • Bachelor's degree and evidence of strong academic performance (First, 2:1 or similar) in a quantitative or technical discipline
  • 1-2+ years of experience in a role involving complex data analysis, modelling, or product development (e.g. in energy, software, finance, or consulting)
  • Proficiency in at least one programming language commonly used for analysis (e.g. Python, R, MATLAB)
  • Demonstrated ability to analyse, interpret, and explain the behaviour of complex systems or models
  • Strong interest in energy and power markets
  • Evidence of strong performance in team-oriented environments
  • Strong communication skills and the ability to adapt your communication style for technical and non-technical audiences
  • You must have the right to work in the UK as we are unable to provide sponsorship for this role, now or in the future

What we offer

  • 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 and civil partnership and pregnancy and maternity.

The successful candidate would start as soon as possible. The team will review applications as they are received. Salary will be competitive with experience.

To apply, please submit your Résumé / CV, a personal summary, your salary expectations and please inform us of your notice period.

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