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- Tasks: Analyse and develop datasets for the European power market using AI and analytics.
- Company: Leading financial data and software solutions provider in the energy sector.
- Benefits: Flexible working arrangements, career growth opportunities, and a client-first approach.
- Why this job: Join a dynamic team and make an impact in the energy industry with your analytical skills.
- Qualifications: Bachelor's degree and 2-5 years of experience in power markets; SQL and Python proficiency required.
- Other info: Ideal for detail-oriented individuals looking to grow in a fast-paced environment.
The predicted salary is between 28800 - 48000 £ per year.
A financial data and software solutions provider is hiring for a role focused on developing and analyzing European power market datasets. The ideal candidate will have a Bachelor's degree and between 2 to 5 years of experience in the energy industry, preferably in power markets.
Proficiency in SQL and Python is essential, along with strong attention to detail and writing skills. This position also emphasizes a client-first mindset with opportunities for career growth and flexible working arrangements.
European Power Data Analyst — AI & Analytics employer: FactSet
Contact Detail:
FactSet Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land European Power Data Analyst — AI & Analytics
✨Tip Number 1
Network like a pro! Reach out to folks in the energy industry, especially those who work with power markets. A friendly chat can lead to insider info about job openings that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and Python projects. This is a great way to demonstrate your expertise and attention to detail, making you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to the power market. We recommend practising your responses to highlight your client-first mindset and how you can contribute to their team.
✨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 European Power Data Analyst — AI & Analytics
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your proficiency in SQL and Python right from the start. We want to see how your technical skills can contribute to our analysis of European power market datasets.
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect your experience in the energy industry, especially in power markets. We love seeing how your background aligns with what we do.
Attention to Detail is Key: Since this role requires strong attention to detail, ensure your application is free from typos and errors. We appreciate candidates who take the time to present their best selves!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and get to know you better!
How to prepare for a job interview at FactSet
✨Know Your Data
Make sure you brush up on your knowledge of European power market datasets. Be prepared to discuss specific data sources and trends you've worked with in the past. This will show your expertise and passion for the industry.
✨Showcase Your Technical Skills
Since proficiency in SQL and Python is essential, be ready to demonstrate your skills. You might be asked to solve a problem or analyse a dataset during the interview, so practice coding challenges beforehand to boost your confidence.
✨Client-First Mindset
Emphasise your experience in putting clients first. Think of examples where you’ve gone above and beyond to meet client needs or how you’ve used data to drive client decisions. This will align well with the company’s values.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the company. Inquire about their approach to data analysis in the power market or how they envision the future of energy analytics. This shows your genuine interest and helps you assess if it’s the right fit for you.
