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- Tasks: Analyse data to support renewable energy projects and power purchase agreements.
- Company: Leading renewable energy company focused on sustainability and innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a difference in the renewable energy sector while honing your analytical skills.
- Qualifications: Strong data analysis skills with proficiency in SQL and Python.
- Other info: Collaborative team environment with a focus on impactful insights.
The predicted salary is between 30000 - 50000 £ per year.
A leading renewable energy company is looking for a Data Analyst to join their Energy Markets team. This role will focus on delivering high-quality market, project, and portfolio analysis to support power purchase agreements (PPAs).
The ideal candidate will have a strong background in data analysis, including proficiency in SQL and Python, and will work closely with various teams to provide insights that underpin strategic decisions. A commitment to data quality and effective communication skills are essential for success in this role.
Data Analyst, Renewable Energy PPA Insights in City of Westminster employer: Octopus Energy Ltd
Contact Detail:
Octopus Energy Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst, Renewable Energy PPA Insights in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to people in the renewable energy sector, especially those working with data analysis. 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 SQL and Python. 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 common data analysis scenarios related to PPAs. Think about how you can demonstrate your commitment to data quality and effective communication during discussions.
✨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 Data Analyst, Renewable Energy PPA Insights in City of Westminster
Some tips for your application 🫡
Show Off Your Data Skills: Make sure to highlight your experience with SQL and Python in your application. We want to see how you've used these tools to deliver insights in previous roles, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention specific projects or experiences that relate to power purchase agreements (PPAs) and renewable energy. It shows us you’re genuinely interested!
Communicate Clearly: Since effective communication is key for this role, ensure your application is clear and concise. Use straightforward language to explain your past experiences and how they relate to the job. We appreciate clarity!
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 our team!
How to prepare for a job interview at Octopus Energy Ltd
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these tools to analyse data, as this will show your practical experience and understanding of the role.
✨Understand the Energy Market
Familiarise yourself with current trends in the renewable energy sector, especially around power purchase agreements (PPAs). This knowledge will help you demonstrate your interest in the field and how you can contribute to the company's goals.
✨Communicate Clearly
Since effective communication is key for this role, practice explaining complex data insights in simple terms. Think about how you would present your findings to non-technical stakeholders, as this will showcase your ability to bridge the gap between data and decision-making.
✨Show Commitment to Quality
Be prepared to discuss how you ensure data quality in your analyses. Share examples of how you've identified and resolved data issues in the past, as this will highlight your attention to detail and commitment to delivering high-quality work.
