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- Tasks: Support grid connection applications and develop network models for renewable energy projects.
- Company: Join a dynamic Renewable Power business in Greater London focused on innovative energy solutions.
- Benefits: Enjoy a hybrid work environment with flexibility and collaboration opportunities.
- Why this job: Be part of a forward-thinking team with exciting projects and a chance to make an impact.
- Qualifications: Degree in STEM or relevant field; programming skills in Python, Excel, BI, or SQL required.
- Other info: Must be able to commute to North West Greater London up to 3 days a week.
The predicted salary is between 36000 - 60000 £ per year.
Exciting opportunity alert! We are currently seeking a Grid Data Analyst to join a dynamic Renewable Power business in Greater London (North West). If you are proactive, detail-oriented, and well-versed in grid connection applications, API scripts, Python, and network modeling, this role could be a perfect fit for you.
Main Duties
Key responsibilities include:
- Supporting grid connection applications, including G99
- Utilizing API scripts for data gathering
- Developing and maintaining network models for connection assessment
- Conducting relevant connection studies
With a robust pipeline of projects and plans for business expansion, this is an ideal time to join a forward-thinking team. The office offers a hybrid working environment, combining the best of in-office collaboration and remote flexibility.
If you have the right skills, can commute to North West Greater London up to 3 days a week, and hold full UK right to work, we’d love to hear from you! Apply now to be part of this exciting journey.
Minimum Requirements
- Ability to undertake research using diverse sources and filter for important developments, including reading publications and policy papers, attending conferences, meeting and interviewing key stakeholders across different sectors of the economy, and keeping up to date with news on technological and social developments
- Strong analytical skills. Able to scope and prioritise which questions to answer, understand which factors affect an outcome and conduct qualitative and quantitative analysis
- Experience of energy planning especially at a Local Authority, Gas or Electricity Distribution network level.
- Experience of communicating with, and influencing, internal and external stakeholders
- Programming skills in Python, Excel, BI or SQL
- Degree in STEM, Statistics, Economics, Data Science, or other relevant data analytics qualifications or industry experience.
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Grid Data Analyst employer: Netzero People
Contact Detail:
Netzero People Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Grid Data Analyst
✨Tip Number 1
Familiarize yourself with the latest trends in renewable energy and grid connection applications. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Network with professionals in the renewable energy sector, especially those who work with grid data analysis. Attend industry conferences or webinars to make connections that could lead to valuable insights and potential referrals.
✨Tip Number 3
Brush up on your programming skills, particularly in Python and API scripting. Consider working on small projects or contributing to open-source initiatives to showcase your abilities and practical experience.
✨Tip Number 4
Prepare to discuss your analytical approach and past experiences in energy planning. Be ready to provide examples of how you've influenced stakeholders or conducted impactful research in previous roles.
We think you need these skills to ace Grid Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with grid connection applications, API scripts, and Python. Use specific examples that demonstrate your analytical skills and any relevant projects you've worked on.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background in energy planning and data analysis aligns with the responsibilities of the Grid Data Analyst position.
Showcase Relevant Skills: Clearly outline your programming skills in Python, Excel, BI, or SQL. Provide examples of how you've used these skills in previous roles to solve problems or improve processes.
Highlight Stakeholder Engagement: Discuss your experience in communicating with and influencing stakeholders. Provide examples of how you've successfully collaborated with internal teams or external partners in past projects.
How to prepare for a job interview at Netzero People
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python, API scripts, and network modeling during the interview. Prepare examples of how you've used these skills in past projects, as this will demonstrate your technical proficiency and relevance to the role.
✨Demonstrate Analytical Thinking
Be ready to discuss your analytical approach to problem-solving. Share specific instances where you conducted qualitative and quantitative analysis, and explain how you prioritized questions to achieve effective outcomes.
✨Understand the Industry Landscape
Familiarize yourself with current trends in renewable energy and grid connection applications. Being able to discuss recent developments or policy changes will show your proactive nature and genuine interest in the field.
✨Prepare for Stakeholder Interaction
Since the role involves communicating with various stakeholders, think of examples where you've successfully influenced or collaborated with others. This will illustrate your interpersonal skills and ability to work within a team.
