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For Companies At a Glance
- Tasks: Analyse and model risk data while collaborating with trading teams.
- Company: Leading energy trading organisation with a focus on innovation.
- Benefits: Up to £120,000 salary, bonuses, and hybrid working model.
- Why this job: Join a dynamic team and make an impact in the energy sector.
- Qualifications: 5 years' experience in financial services, especially in risk or commodities.
- Other info: Opportunity for professional growth in a fast-paced environment.
The predicted salary is between 72000 - 84000 £ per year.
A leading energy trading organization seeks a skilled Data Analyst. In this role, you will analyze and model risk data, migrate legacy systems, and collaborate closely with trading teams.
Candidates should have at least 5 years' experience in financial services, particularly in risk or commodities. Proficiency in Power BI, familiarity with Agile methodologies, and knowledge of orchestration tools are essential.
The position offers a salary of up to £120,000 plus bonus and benefits, with a hybrid working model.
Front-Office Data Analyst: Commodities & Energy Trading employer: VirtueTech Recruitment Group
Contact Detail:
VirtueTech Recruitment Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Front-Office Data Analyst: Commodities & Energy Trading
✨Tip Number 1
Network like a pro! Reach out to your connections in the energy trading sector and let them know you're on the lookout for opportunities. A personal recommendation can go a long way in landing that dream job.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data analysis projects, especially those related to risk and commodities. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Ace the interview! Research common questions for data analyst roles in the commodities and energy trading space. Practice your responses, focusing on your experience with Power BI and Agile methodologies.
✨Tip Number 4
Apply through our website! We make it easy for you to find and apply for roles that match your skills. Don’t miss out on the chance to join a leading energy trading organisation – your next big opportunity is just a click away!
We think you need these skills to ace Front-Office Data Analyst: Commodities & Energy Trading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in financial services, especially in risk or commodities. We want to see how your skills align with the role, so don’t be shy about showcasing your proficiency in Power BI and any relevant projects you've worked on.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about energy trading and how your background makes you a perfect fit for our team. We love seeing candidates who can connect their experiences to the job description.
Showcase Your Technical Skills: Since this role requires knowledge of orchestration tools and Agile methodologies, make sure to mention any relevant tools or frameworks you’ve used. We’re keen to see how you’ve applied these skills in real-world scenarios, so give us some examples!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at VirtueTech Recruitment Group
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of risk data analysis and modelling. Brush up on your experience with commodities and energy trading, as this will be crucial in demonstrating your expertise during the interview.
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in Power BI and any orchestration tools you've used. Bring examples of how you've leveraged these tools in past roles to solve problems or improve processes, as this will highlight your practical skills.
✨Familiarise Yourself with Agile Methodologies
Since the role requires familiarity with Agile, it’s a good idea to understand its principles and how they apply to data analysis. Be ready to share experiences where you’ve worked in Agile teams and how it benefited your projects.
✨Prepare for Collaboration Questions
As you'll be working closely with trading teams, think about times when you successfully collaborated with others. Prepare to discuss how you communicate complex data insights to non-technical stakeholders, as this will show your ability to bridge the gap between data and trading.
