At a Glance
- Tasks: Enhance the Analytics & Modelling Platform for Gas, LNG, and Power markets.
- Company: Leading international energy company based in London.
- Benefits: Hybrid working model with potential contract extensions.
- Why this job: Join a dynamic team and influence critical decision-making in the energy sector.
- Qualifications: Strong market fundamentals, energy analytics experience, and excellent Python skills.
- Other info: Opportunity to work on impactful projects in a growing industry.
The predicted salary is between 60000 - 80000 £ per year.
A leading international energy company in London is seeking a Senior Technical Business Analyst to enhance its Analytics & Modelling Platform for Gas, LNG, and Power markets. The ideal candidate will have a strong grasp of market fundamentals, energy analytics experience, and excellent Python skills.
You will collaborate with cross-functional teams and contribute to critical decision-making processes. This contract position offers a hybrid working model and potential extensions beyond 6 months.
Senior Tech BA — Energy Analytics & Modelling employer: SEFE Group
Contact Detail:
SEFE Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Tech BA — Energy Analytics & Modelling
✨Tip Number 1
Network like a pro! Reach out to folks in the energy sector, especially those who work with analytics and modelling. A friendly chat can open doors and give you insights that might just land you that Senior Tech BA role.
✨Tip Number 2
Show off your Python skills! If you’ve got any projects or examples of your work, be ready to discuss them in detail. We want to see how you can apply your technical know-how to real-world problems in energy analytics.
✨Tip Number 3
Prepare for those tricky interview questions! Brush up on market fundamentals and be ready to explain how they relate to gas, LNG, and power markets. We’re looking for someone who can think critically and contribute to decision-making processes.
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Senior Tech BA — Energy Analytics & Modelling
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in energy analytics and Python skills. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about the energy sector and how your skills can enhance our Analytics & Modelling Platform. Keep it engaging and personal!
Showcase Collaboration Skills: Since this role involves working with cross-functional teams, mention any past experiences where you’ve successfully collaborated with others. We love seeing teamwork in action, so share those stories!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at SEFE Group
✨Know Your Energy Markets
Make sure you brush up on your knowledge of gas, LNG, and power markets. Understand the current trends and challenges in the energy sector, as this will help you demonstrate your grasp of market fundamentals during the interview.
✨Showcase Your Python Skills
Prepare to discuss your experience with Python in detail. Bring examples of projects where you've used Python for analytics or modelling, and be ready to explain your thought process and the impact of your work.
✨Collaboration is Key
Since you'll be working with cross-functional teams, think of examples that showcase your teamwork skills. Be prepared to discuss how you've successfully collaborated with others to achieve common goals in previous roles.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the company's Analytics & Modelling Platform and its future direction. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.