At a Glance
- Tasks: Lead the development of an online decision support system for Smart Local Energy Systems.
- Company: Bangor University, in partnership with Community Energy Wales, focused on innovation.
- Benefits: Hybrid working, competitive salary, and opportunities to contribute to renewable energy solutions.
- Other info: Join a dynamic team dedicated to sustainable energy and community empowerment.
- Why this job: Make a real difference in communities while advancing Wales' net-zero goals.
- Qualifications: PhD or equivalent experience in GIS, Python, and web app development.
The predicted salary is between 40000 - 50000 € per year.
Bangor University seeks an innovative individual for a full-time role at its Business School, collaborating with Community Energy Wales. You will develop a unique online decision support system to empower communities across Wales to create their own Smart Local Energy Systems (SLES).
The ideal candidate will have a PhD or equivalent experience, with strong skills in GIS, Python, and web app development, contributing to renewable energy solutions and Wales’ net-zero objectives.
GIS & Data Analytics Lead for Smart Local Energy (Hybrid) in Bangor employer: Bangor University
Bangor University offers a dynamic and supportive work environment, fostering innovation and collaboration within its Business School. Employees benefit from a strong commitment to professional development, with opportunities to engage in impactful projects that contribute to sustainable energy solutions in Wales. The hybrid working model promotes a healthy work-life balance, making it an excellent choice for those seeking meaningful employment in a forward-thinking institution.
StudySmarter Expert Advice🤫
We think this is how you could land GIS & Data Analytics Lead for Smart Local Energy (Hybrid) in Bangor
✨Tip Number 1
Network like a pro! Reach out to professionals in the GIS and renewable energy sectors on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your GIS projects, Python scripts, and web apps. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to GIS and data analytics. We recommend practising with a friend or using mock interview platforms to build your confidence.
✨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 GIS & Data Analytics Lead for Smart Local Energy (Hybrid) in Bangor
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your GIS, Python, and web app development skills in your application. We want to see how your experience aligns with the role and how you can contribute to our mission of empowering communities.
Tailor Your Application:Don’t just send a generic CV and cover letter! Take the time to tailor your application to the specific role at Bangor University. Mention how your background fits with the Smart Local Energy Systems project and our net-zero objectives.
Be Innovative:We’re looking for someone innovative, so don’t be afraid to showcase your creative ideas in your application. Share any past projects or concepts that demonstrate your ability to think outside the box in GIS and data analytics.
Apply Through Our Website:To make sure your application gets the attention it deserves, apply through our website. It’s the best way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Bangor University
✨Know Your GIS Inside Out
Make sure you brush up on your GIS skills before the interview. Be ready to discuss specific projects where you've used GIS technology, especially in relation to renewable energy solutions. This will show your expertise and how it aligns with the role.
✨Show Off Your Python Skills
Prepare to demonstrate your proficiency in Python. You might be asked to solve a problem or explain how you've used Python in past projects. Having examples ready will help you stand out as a candidate who can contribute immediately.
✨Understand Smart Local Energy Systems
Familiarise yourself with Smart Local Energy Systems and their impact on communities. Being able to discuss how your work can empower communities in Wales will resonate well with the interviewers and show your commitment to their objectives.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the collaboration with Community Energy Wales. This not only shows your interest but also helps you gauge if the position is the right fit for you. It’s a two-way street!
