At a Glance
- Tasks: Conduct research and analysis to provide market insights and strategic perspectives.
- Company: Join a forward-thinking research team in the vibrant city of Oxford.
- Benefits: Enjoy private medical insurance, dental cover, and a supportive work environment.
- Other info: Dynamic workplace with opportunities for personal and professional growth.
- Why this job: Make an impact by interpreting complex data and communicating insights to clients.
- Qualifications: Experience in analytical roles and strong communication skills are essential.
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.
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 (Python, R, Matlab, Advanced Excel)
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
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.
StudySmarter Expert Advice🤫
We think this is how you could land Research 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!
✨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 Research Senior Analyst at Aurora Energy Research.
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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.
✨Apply Directly through Our Website
When you find a suitable opening like Research Senior Analyst at Aurora Energy Research, 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 Research 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, 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. 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
✨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!
✨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.
