Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse energy data to drive sustainability and cost-saving initiatives.
- Company: Join a forward-thinking company focused on energy efficiency and innovation.
- Benefits: Enjoy a competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact on sustainability while collaborating with diverse teams.
- Qualifications: Bachelor’s degree in a relevant field and 2-5 years of experience required.
- Other info: Ideal for those passionate about energy systems and data analytics.
The predicted salary is between 42000 - 58000 £ per year.
Energy data analyst – £35,000 – London Job Summary: We are seeking a highly analytical and detail-oriented Data Energy Analyst to join our team. The ideal candidate will be responsible for collecting, analysing, and interpreting energy consumption data to support strategic decision-making, sustainability goals, and cost-reduction initiatives. This role requires strong data analysis skills, knowledge of energy systems and markets, and the ability to present insights to technical and non-technical stakeholders. Key Responsibilities: Collect, process, and analyse energy usage data from multiple sources (e.g., utility bills, meters, BMS/EMS systems). Monitor and evaluate energy performance trends across facilities, assets, or portfolios. Identify inefficiencies, anomalies, and opportunities for energy savings or operational improvements. Develop dashboards, reports, and visualizations to communicate findings to stakeholders. Support energy forecasting, budgeting, and procurement strategies. Collaborate with engineering, operations, and sustainability teams on energy projects and initiatives. Ensure compliance with energy regulations and reporting requirements (e.g., ENERGY STAR, ISO 50001, ESG frameworks). Stay informed about energy market trends, technologies, and best practices. Qualifications: Bachelor’s degree in engineering, Environmental Science, Data Science, Statistics, Economics, or a related field. Experience: 2–5 years of experience in energy analysis, data analytics, or sustainability-related roles. Familiarity with energy systems (HVAC, lighting, renewables, etc.) is preferred. Technical Skills: Proficiency in data analysis tools (e.g., Excel, SQL, Python, R, Power BI, Tableau). Experience with energy management systems, utility data platforms, or smart meter data. Understanding of statistical modelling, regression analysis, or forecasting techniques
Energy data analyst - £35,000 - London employer: RGB Network
Contact Detail:
RGB Network Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Energy data analyst - £35,000 - London
✨Tip Number 1
Familiarise yourself with the latest energy market trends and technologies. This knowledge will not only help you in interviews but also demonstrate your genuine interest in the field, making you a more attractive candidate.
✨Tip Number 2
Network with professionals in the energy sector through LinkedIn or industry events. Building connections can provide valuable insights into the role and may even lead to referrals, increasing your chances of landing the job.
✨Tip Number 3
Prepare to discuss specific projects or experiences where you've successfully analysed data to drive energy efficiency or sustainability initiatives. Real-world examples will showcase your skills and make you stand out during the interview process.
✨Tip Number 4
Practice presenting complex data insights in a clear and engaging manner. Since you'll need to communicate findings to both technical and non-technical stakeholders, honing this skill will be crucial for success in the role.
We think you need these skills to ace Energy data analyst - £35,000 - London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in energy analysis and data analytics. Emphasise your familiarity with energy systems and any specific tools mentioned in the job description, such as Excel, SQL, or Python.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about energy sustainability and how your skills align with the company's goals. Mention specific projects or experiences that demonstrate your analytical abilities and understanding of energy markets.
Showcase Technical Skills: Clearly outline your proficiency in data analysis tools and techniques. If you have experience with dashboards or visualisations, provide examples of how you've used these to communicate insights effectively to both technical and non-technical stakeholders.
Highlight Relevant Qualifications: Ensure you mention your educational background and any certifications related to energy analysis or data science. This will help demonstrate your qualifications and commitment to the field.
How to prepare for a job interview at RGB Network
✨Showcase Your Analytical Skills
As an Energy Data Analyst, your ability to analyse and interpret data is crucial. Be prepared to discuss specific examples of how you've used data analysis tools like Excel or Python in previous roles. Highlight any projects where your insights led to significant improvements or cost savings.
✨Understand Energy Systems
Familiarity with energy systems is a key requirement for this role. Brush up on your knowledge of HVAC, lighting, and renewable energy sources. During the interview, demonstrate your understanding of how these systems impact energy consumption and efficiency.
✨Prepare for Technical Questions
Expect technical questions related to data analysis and energy markets. Review statistical modelling and forecasting techniques, as well as any relevant regulations like ENERGY STAR or ISO 50001. Being able to confidently answer these questions will show your expertise in the field.
✨Communicate Effectively
You'll need to present your findings to both technical and non-technical stakeholders. Practice explaining complex data insights in simple terms. Use visual aids or examples from your past work to illustrate your points clearly during the interview.