At a Glance
- Tasks: Analyse and visualise data to support strategic decisions in a scientific community.
- Company: Join Community Energy England, a forward-thinking membership organisation.
- Benefits: Enjoy a hybrid work model with flexibility and a supportive team environment.
- Other info: Fixed term contract until December 2026 with opportunities for growth.
- Why this job: Make a real difference by turning complex data into actionable insights.
- Qualifications: Proficient in Python and Power BI with strong analytical skills.
The predicted salary is between 35000 - 45000 € per year.
Community Energy England is seeking a Data Analyst for a fixed term contract until 31 December 2026. This full-time role will focus on data analysis and visualization to support strategic decision making within a scientific membership organization.
The ideal candidate will have strong skills in using Python and Power BI to interpret complex datasets and present insights to stakeholders. The position is hybrid, requiring a minimum of one day per month onsite in London.
Data Analyst - Python + Power BI (Hybrid, London) employer: Community Energy England
Community Energy England is an exceptional employer that fosters a collaborative and innovative work culture, where data-driven insights play a crucial role in shaping sustainable energy solutions. With a commitment to employee growth, we offer opportunities for professional development and the chance to make a meaningful impact within the community. Our hybrid working model allows for flexibility while still providing valuable in-person engagement in the vibrant city of London.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - Python + Power BI (Hybrid, London)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects using Python and Power BI. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions and scenarios. Practice explaining your thought process when interpreting datasets, as this will demonstrate your analytical skills to the interviewers.
✨Tip Number 4
Don’t forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you’re genuinely interested in joining our community.
We think you need these skills to ace Data Analyst - Python + Power BI (Hybrid, London)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python and Power BI. We want to see how you've used these tools in real-world scenarios, so don’t hold back on the details!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you're passionate about data analysis and how you can contribute to our mission at Community Energy England. Keep it engaging and relevant!
Showcase Your Projects:If you've worked on any projects that involved data analysis or visualisation, make sure to mention them. We love seeing practical examples of your skills in action, so include links or descriptions where possible.
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Community Energy England
✨Know Your Tools Inside Out
Make sure you’re well-versed in Python and Power BI. Brush up on your coding skills and be ready to discuss specific projects where you've used these tools. Prepare to showcase how you’ve turned complex datasets into actionable insights.
✨Understand the Organisation's Mission
Familiarise yourself with Community Energy England and its goals. Knowing their focus on strategic decision-making will help you tailor your answers to show how your skills can directly support their mission.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical data challenges. Practice articulating your thought process clearly, as this will demonstrate your analytical skills and ability to communicate effectively with stakeholders.
✨Show Enthusiasm for Hybrid Work
Since the role is hybrid, express your excitement about the flexibility it offers. Share how you plan to balance remote work with the onsite requirements, highlighting your self-motivation and time management skills.
