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- Tasks: Use advanced analytics to enhance debt outcomes and collaborate with stakeholders.
- Company: Leading utility provider in the UK with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real difference in credit risk management while developing your analytical skills.
- Qualifications: Strong technical skills in SQL and Python; experience in regulated industries preferred.
- Other info: Join a dynamic team dedicated to improving financial outcomes.
The predicted salary is between 42000 - 84000 £ per year.
A leading utility provider in the UK is seeking a Senior Data Analyst to join their Credit Risk team. This role involves using advanced analytics to improve debt outcomes and requires a proven analyst with strong technical skills, particularly in SQL and Python. You will work with various stakeholders to translate complex findings into actionable strategies.
Candidates should have experience in data analytics within regulated industries, with a degree in a quantitative field being advantageous.
Senior Data Analyst - Credit Risk & Debt Insights in Nottingham employer: E.ON Next
Contact Detail:
E.ON Next Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst - Credit Risk & Debt Insights in Nottingham
✨Tip Number 1
Network like a pro! Reach out to current or former employees in the Credit Risk team. A friendly chat can give us insights into the company culture and maybe even a referral.
✨Tip Number 2
Show off your skills! Prepare a mini-project using SQL or Python that showcases your analytical prowess. Bring it up during interviews to demonstrate your hands-on experience.
✨Tip Number 3
Be ready to discuss real-world applications of your work. Think about how your past projects have improved outcomes and be prepared to share those stories with us.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Senior Data Analyst - Credit Risk & Debt Insights in Nottingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analytics, especially within regulated industries. We want to see how your skills in SQL and Python can shine through, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for the Senior Data Analyst role. Share specific examples of how you've used advanced analytics to improve outcomes in previous roles, and don’t forget to mention your ability to work with stakeholders.
Showcase Your Technical Skills: Since this role requires strong technical skills, make sure to include any relevant certifications or courses you've completed in SQL and Python. We love seeing candidates who are proactive about their learning and development!
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 E.ON Next
✨Know Your SQL and Python Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be prepared to discuss specific projects where you've used these languages to solve complex problems, as this will show your technical prowess and ability to handle data effectively.
✨Understand the Utility Sector
Familiarise yourself with the utility industry, especially around credit risk and debt management. Knowing the current trends and challenges in this sector will help you demonstrate your understanding of the role and how you can contribute to improving debt outcomes.
✨Prepare for Stakeholder Interaction
Since you'll be working with various stakeholders, think about examples from your past experiences where you've successfully communicated complex data insights. Practising how to translate technical findings into actionable strategies will be key to impressing your interviewers.
✨Showcase Your Analytical Mindset
Be ready to discuss your analytical approach to problem-solving. Prepare to share specific instances where your analysis led to significant improvements or decisions, particularly in regulated environments. This will highlight your capability as a Senior Data Analyst.
