At a Glance
- Tasks: Support energy projects through data analysis and modelling with large datasets.
- Company: Join Digital Waffle, a forward-thinking company in the energy sector.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Work in a dynamic environment with a focus on innovation and collaboration.
- Why this job: Make a real impact in the energy sector while honing your analytical skills.
- Qualifications: 3 years of data analysis experience and strong Python skills required.
The predicted salary is between 40000 - 48000 £ per year.
Digital Waffle is looking for a Data & Modelling Analyst to support quantitative analysis and modelling across major energy projects. This role involves working with large datasets, building and running optimisation models, and developing insights for clients.
Ideal candidates should have around 3 years of experience in data analysis, strong Python skills including libraries like pandas and NumPy, and understand electricity markets. This position allows for hybrid working in London.
Hybrid Energy Systems Modeller & Data Analyst employer: Digital Waffle
Digital Waffle is an excellent employer that fosters a collaborative and innovative work culture, providing employees with the opportunity to engage in meaningful projects within the energy sector. With a focus on professional growth, employees benefit from continuous learning opportunities and the flexibility of hybrid working arrangements in London, making it an ideal environment for those looking to advance their careers while contributing to impactful energy solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid Energy Systems Modeller & Data Analyst
✨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 data analysis projects, especially those using Python and libraries like pandas and NumPy. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of electricity markets. Be ready to discuss how your experience aligns with the role and how you can contribute to their major energy projects.
✨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 Hybrid Energy Systems Modeller & Data Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data analysis and modelling, especially with Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects you've worked on!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about energy systems and how your background makes you a perfect fit for the role. We love seeing enthusiasm and a personal touch.
Showcase Your Technical Skills:Since this role involves working with large datasets and optimisation models, make sure to mention your proficiency with libraries like pandas and NumPy. We’re keen to know how you’ve used these tools in past projects!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us during the process!
How to prepare for a job interview at Digital Waffle
✨Know Your Data Inside Out
Make sure you’re familiar with the types of datasets you might be working with. Brush up on your experience with large datasets and be ready to discuss specific examples where you've successfully analysed data or built models.
✨Show Off Your Python Skills
Since strong Python skills are a must, prepare to demonstrate your knowledge of libraries like pandas and NumPy. You might be asked to solve a problem on the spot, so practice coding challenges beforehand to boost your confidence.
✨Understand the Energy Market
Get a good grasp of electricity markets and current trends in the energy sector. Being able to discuss how these factors influence modelling and analysis will show that you’re not just technically skilled but also industry-savvy.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their projects and team dynamics. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
