At a Glance
- Tasks: Conduct impactful analysis and research to shape market insights and strategies.
- Company: Join a leading analytics firm in Oxford with a focus on innovation.
- Benefits: Enjoy private medical insurance, dental cover, and a supportive work environment.
- Other info: Mentorship opportunities and career growth in a high-performing team.
- Why this job: Engage with top clients and develop your expertise in a dynamic team.
- Qualifications: Experience in analytical roles and strong data interpretation skills required.
The predicted salary is between 40000 - 50000 £ per year.
Aurora’s Research department is seeking a results‑oriented Senior Analyst to join our analytics and client‑facing services team for the GB market, based in our Oxford office. This position suits candidates with experience in analytical roles within Research, Advisory, Software or Modelling, who possess a strong foundation in market analysis in GB or other regions. The role offers the opportunity to engage with leading stakeholders and contribute to Aurora’s best‑in‑class modelling and strategic insights.
You will join one of Aurora’s most successful and high‑performing teams, working on policy analysis, market dynamics, and investment economics across a range of sectors. Our client base includes leading British and international organisations in the public and private sectors, actively shaping the future of the GB market. Your role will benefit from mentoring by experienced team members in Oxford and allow you to grow into a market expert, delivering high‑impact analysis to top clients and contributing learnings to Aurora’s wider global research team.
Key Responsibilities- Conduct analysis and research to support Aurora’s market insights and strategic perspectives
- Monitor and interpret policy developments relevant to the GB market
- Work with Aurora’s proprietary modelling tools to develop forecasts and scenario-based insights
- Communicate findings clearly and effectively to a wide range of clients, both in person and online
- Contribute to Aurora’s publications, including reports, briefing notes, and client communications
Required attributes:
- Experience in analytical roles within Research, Advisory, Software or Modelling
- Proven ability to organise and manage their own time
- Proven ability to interpret and derive insight from complex quantitative data and information
- Ability to communicate clearly and co‑operate effectively with both technically and non‑technically minded people
- Self‑starting, entrepreneurial mind‑set, and desire to grow the business
Desirable attributes:
- Experience of power markets, in GB or another context
- Experience working on financial markets or project finance
- Demonstrated success in working together with clients
- Competence in advanced data analytics (e.g. Python, R, Matlab, Advanced Excel)
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
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.
Senior Analyst employer: Aurora Energy Research Limited
Aurora is an exceptional employer, offering a dynamic work environment in Oxford where innovation and collaboration thrive. Employees benefit from comprehensive support, including private medical insurance and a cycle-to-work scheme, while enjoying opportunities for professional growth through mentorship and engagement with leading stakeholders. Join a high-performing team dedicated to delivering impactful analysis and shaping the future of the GB market.
Contact Details:
Aurora Energy Research Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analyst
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Aurora Energy Research Limited!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Analyst at Aurora Energy Research Limited.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Aurora Energy Research Limited.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Analyst at Aurora Energy Research Limited, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Analyst
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 Aurora Energy Research Limited, 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 Aurora Energy Research Limited. 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 Aurora Energy Research Limited
✨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 Aurora Energy Research Limited!
✨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.
