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- Tasks: Analyse European gas market data and improve forecasting models using Python.
- Company: Leading energy research provider focused on innovative solutions.
- Benefits: Competitive pay, dynamic team environment, and valuable industry experience.
- Why this job: Join a vital energy transition project and make a real impact.
- Qualifications: Strong background in gas market research and statistical methods.
- Other info: 6-month contract with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading energy research provider is seeking an innovative European Gas Data Analyst for a 6-month contract in London. The ideal candidate has a strong background in gas market research and expertise in statistical methods and Python programming.
Responsibilities include:
- Improving forecasting models
- Enhancing scripts
- Providing quantitative insights
This role offers an exciting opportunity to work within a dynamic team, contributing to vital energy transition research.
European Gas Market Data Analyst - 6-Month Contract employer: Bloomberg
Contact Detail:
Bloomberg Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land European Gas Market Data Analyst - 6-Month Contract
✨Tip Number 1
Network like a pro! Reach out to professionals in the energy sector on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects and statistical analyses. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of the European gas market. Be ready to discuss recent trends and how your skills can help improve forecasting models.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace European Gas Market Data Analyst - 6-Month Contract
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in gas market research and any relevant statistical methods. We want to see how your skills align with the role, so don’t be shy about showcasing your Python programming expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about energy transition research and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Analytical Skills: In your application, give examples of how you've improved forecasting models or enhanced scripts in previous roles. We’re looking for candidates who can provide quantitative insights, so let us know how you’ve done this before!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our dynamic team!
How to prepare for a job interview at Bloomberg
✨Know Your Gas Market
Make sure you brush up on the latest trends and developments in the European gas market. Being able to discuss current events and how they impact market dynamics will show your passion and expertise.
✨Show Off Your Python Skills
Prepare to demonstrate your proficiency in Python during the interview. Have examples ready of how you've used Python for data analysis or to improve forecasting models, as this is a key requirement for the role.
✨Quantitative Insights Matter
Be ready to discuss how you've provided quantitative insights in previous roles. Think of specific instances where your analysis led to actionable recommendations or improvements in processes.
✨Team Player Attitude
Since you'll be working within a dynamic team, highlight your collaborative experiences. Share examples of how you've successfully worked with others to achieve common goals, especially in fast-paced environments.
