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- Tasks: Develop techno-economic models and analyse energy asset performance using Python.
- Company: Join Chronos Energy, a leader in energy infrastructure development and management.
- Benefits: Enjoy a full-time role with opportunities for growth and collaboration across teams.
- Why this job: Make a real impact on energy efficiency while working in a dynamic, innovative environment.
- Qualifications: Degree in Energy Systems, Engineering, or Data Science preferred; Python experience required.
- Other info: Ideal for those passionate about renewable energy and data analysis.
The predicted salary is between 36000 - 60000 £ per year.
Chronos Energy is looking to recruit an Energy Analyst for our client, an energy infrastructure developer and asset owner. The company is developing large scale Heat Networks as well as managing and improving large energy infrastructure assets. The Energy Analyst will be developing techno-economic models and analysing the existing portfolio of the client's energy assets. You will work closely with the engineering, operations, IT, and commercial teams to develop analytical tools to improve decision-making and enhance energy system efficiency.
Roles and Responsibilities:
- Using Python to develop and implement techno-economic models for energy systems
- Analyse large datasets to assess the performance and efficiency of energy infrastructure
- Work with internal stakeholders to define modelling requirements and translate them into actionable insights
- Support feasibility studies and investment decisions by providing quantitative analysis
- Ensure accuracy and integrity of energy models through continuous validation and improvement
Skills and Qualifications:
- Degree in Energy Systems, Engineering, Data Science, or a related field (preferred)
- Strong experience in energy system analysis, energy modelling, or techno-economic modelling
- Experience using Python for modelling and data analysis (e.g. NumPy, Pandas, SciPy, Pyomo, or similar libraries)
- Experience with optimisation techniques, forecasting, and statistical modelling
- Understanding of combustion processes, distributed energy resources (DERs), grid infrastructure, or renewable energy systems
- Strong analytical and problem-solving skills with the ability to interpret complex datasets
- Ability to communicate technical findings to non-technical stakeholders
If you are interested in this role, please apply.
Energy Analyst employer: Chronos Energy
Contact Detail:
Chronos Energy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Energy Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in energy systems and infrastructure. Understanding current developments in heat networks and renewable energy will not only enhance your knowledge but also show your genuine interest in the field during interviews.
✨Tip Number 2
Brush up on your Python skills, especially with libraries like NumPy and Pandas. Consider working on personal projects or contributing to open-source projects that involve energy modelling to demonstrate your practical experience.
✨Tip Number 3
Network with professionals in the energy sector through platforms like LinkedIn. Engaging with industry groups or attending webinars can provide insights into what companies like Chronos Energy are looking for in candidates.
✨Tip Number 4
Prepare to discuss how you would approach analysing large datasets and developing techno-economic models. Think of specific examples from your past experiences where you successfully used analytical tools to solve problems or improve efficiency.
We think you need these skills to ace Energy Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in energy systems, data analysis, and Python programming. Use specific examples that demonstrate your skills in techno-economic modelling and working with large datasets.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background aligns with the responsibilities of the Energy Analyst position, particularly your experience with analytical tools and collaboration with various teams.
Showcase Technical Skills: Clearly outline your proficiency in Python and any relevant libraries like NumPy or Pandas. Provide examples of projects where you have developed models or conducted analyses that improved decision-making in energy systems.
Highlight Communication Skills: Since the role involves communicating technical findings to non-technical stakeholders, include examples of how you've successfully conveyed complex information in an understandable way. This will demonstrate your ability to bridge the gap between technical and non-technical teams.
How to prepare for a job interview at Chronos Energy
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python and any relevant libraries like NumPy or Pandas. Be prepared to discuss specific projects where you've developed techno-economic models or analysed energy systems, as this will demonstrate your practical knowledge.
✨Understand the Company’s Focus
Research Chronos Energy and their client’s projects, especially around large-scale Heat Networks and energy infrastructure. Showing that you understand their goals and challenges will help you stand out as a candidate who is genuinely interested in the role.
✨Prepare for Data Analysis Questions
Expect questions that assess your analytical skills and ability to interpret complex datasets. Brush up on optimisation techniques and be ready to explain how you would approach analysing energy performance and efficiency.
✨Communicate Clearly with Non-Technical Stakeholders
Since the role involves working with various teams, practice explaining technical concepts in simple terms. This will show your ability to bridge the gap between technical and non-technical stakeholders, which is crucial for effective collaboration.
