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- Tasks: Join our team to analyse and forecast the European gas market using data-driven insights.
- Company: BloombergNEF, a leader in strategic research for global commodity markets.
- Benefits: Gain valuable experience in a dynamic environment with opportunities for growth.
- Why this job: Make an impact in the energy transition while honing your analytical skills.
- Qualifications: Experience in gas market analysis and strong Python coding skills required.
- Other info: Collaborative and innovative team culture that values diverse perspectives.
The predicted salary is between 30000 - 42000 £ per year.
BloombergNEF (BNEF) is seeking a talented and highly motivated individual to join our European gas team in a data analyst role for a 6 month contract. To succeed in this role, you will have a genuine passion for the gas and LNG industry alongside a genuine appreciation of the importance of data and quantitative methods. In this role, you will be focused on ensuring the data used in our gas market research and analysis is sourced, stored, modelled and visualised to the highest possible standards whilst also helping build our new generation of client-facing tools.
BNEF is a strategic research provider covering global commodity markets and the disruptive technologies driving the transition to a low-carbon economy. Our expert coverage assesses pathways for the power, transport, industry, buildings and agriculture sectors to adapt to the energy transition. We help commodity trading, corporate strategy, finance and policy professionals navigate change and generate opportunities.
To succeed at BNEF we need people who can work in an independent manner and show initiative to develop their own viewpoints, yet be collaborative with colleagues. We don’t rely on the status quo; we look for innovative yet pragmatic thinking that turns big ideas into real insights and impact. Working at BNEF sometimes feels chaotic; we need teams that are both dynamic and structured to generate the outstanding perspectives our clients really value. Our teams are diverse, creative, focused, and fun!
The role:
- Collaborating with colleagues to develop, maintain and run our gas market forecasting models to time and quality standards.
- Constantly evolving, improving and fine-tuning existing Python scripts relating to our core remit of analysing and forecasting European gas market supply/demand fundamentals.
- Working alongside the gas analysts to conceptualise, plan and execute new scripts and models to further develop the forecasting work of the team.
- Contributing quantitative insights and expertise to the work of the team and providing expertise and input to ongoing research.
- Assisting with process mapping alongside ongoing process refinement and improvement initiatives.
You will need to have:
- Experience in European gas/LNG market research and analysis.
- Strong understanding of data and statistical methods, such as regressions and other time-series analysis.
- Demonstrable and tangible expertise in creating, refining and enhancing existing Python code to a high standard combined with the ability to efficiently write new code.
- Particular experience in, and aptitude for, rigorous user testing, debugging and troubleshooting scripts.
- Strong knowledge of data management and visualization.
- A track record of thinking critically and developing well-structured and thoughtful analysis by cutting through the noise of data, extracting key patterns, applying scepticism and challenging conventional wisdom.
- Curiosity and the ability to quickly understand, distil and work with complex topics and data sets.
- Well-developed communication skills with the ability to understand user requirements and to quickly turn these into new scripts and models adopted by the analyst team.
BloombergNEF - European Gas Data Analyst (6 Month Contract) employer: Bloomberg
Contact Detail:
Bloomberg Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land BloombergNEF - European Gas Data Analyst (6 Month Contract)
✨Tip Number 1
Network like a pro! Reach out to people in the gas and LNG industry on LinkedIn or at 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 data analysis projects, especially those using Python. This gives potential employers a taste of what you can do before they even meet you.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of the European gas market. Be ready to discuss trends and your insights on data analysis – it’ll show you’re genuinely interested in the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace BloombergNEF - European Gas Data Analyst (6 Month Contract)
Some tips for your application 🫡
Show Your Passion: Make sure to express your genuine passion for the gas and LNG industry in your application. We want to see that you’re not just looking for a job, but that you truly care about the field and the impact of data on it.
Highlight Your Skills: Don’t forget to showcase your experience with Python and data analysis. We’re looking for someone who can refine existing scripts and create new ones, so be specific about your skills and past projects!
Be Clear and Concise: When writing your application, clarity is key! Make sure your points are easy to understand and directly relate to the role. We appreciate well-structured applications that get straight to the point.
Apply Through Our Website: We encourage you to apply through our website for the best chance of being noticed. It’s the easiest way for us to keep track of your application and ensure it gets to the right people!
How to prepare for a job interview at Bloomberg
✨Know Your Data
Before the interview, brush up on your knowledge of the European gas and LNG markets. Familiarise yourself with recent trends, key players, and data sources. This will not only show your passion for the industry but also help you engage in meaningful discussions during the interview.
✨Show Off Your Python Skills
Be prepared to discuss your experience with Python, especially in relation to data analysis and modelling. Bring examples of scripts you've worked on or improvements you've made. If possible, practice explaining your coding process clearly, as communication is key in this role.
✨Demonstrate Your Analytical Thinking
Think about how you approach data analysis and problem-solving. Be ready to share specific examples where you've cut through complex data to extract insights. Highlight your critical thinking skills and how you've challenged conventional wisdom in your previous work.
✨Collaborative Mindset
Since the role requires collaboration with colleagues, prepare to discuss how you've worked effectively in teams before. Share experiences where you contributed to group projects or helped refine processes, showcasing your ability to balance independence with teamwork.
