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- Tasks: Analyse customer debt and revenue data to support business decisions.
- Company: Dynamic financial services recruiting firm in the South West, UK.
- Benefits: Competitive salary, onsite work, and opportunities for professional growth.
- Why this job: Turn data into impactful insights and make a real difference.
- Qualifications: Strong SQL skills and experience in debt and revenue analysis.
- Other info: Collaborative environment with a focus on reducing bad debt.
The predicted salary is between 36000 - 60000 £ per year.
A financial services recruiting firm is seeking a Data Analyst for its Credit Risk team in the South West, UK. The role involves analyzing customer debt and revenue data to support business decisions and reduce bad debt.
Key responsibilities include:
- Producing insights
- Building SQL reports
- Collaborating with stakeholders
Ideal candidates will have strong SQL skills and experience in debt and revenue analysis. This is a chance to turn data into impactful insights.
Data Analyst: Debt & Revenue Insights (Onsite SW) employer: Cactus Search
Contact Detail:
Cactus Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst: Debt & Revenue Insights (Onsite SW)
✨Tip Number 1
Network like a pro! Reach out to people in the financial services sector, especially those working in credit risk. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your SQL skills! Prepare a mini portfolio of projects or reports you've created using SQL. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Practice your interview skills! Get a mate to throw some common data analyst questions your way. The more comfortable you are with your answers, the more confident you'll feel when it counts.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of resources to help you land that Data Analyst role. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Data Analyst: Debt & Revenue Insights (Onsite SW)
Some tips for your application 🫡
Show Off Your SQL Skills: Make sure to highlight your SQL expertise in your application. We want to see how you can turn data into insights, so include any relevant projects or experiences that showcase your skills.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to the role. Mention specific experiences related to debt and revenue analysis that align with what we’re looking for.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon and make sure your key points stand out.
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 don’t miss out on any important updates during the process.
How to prepare for a job interview at Cactus Search
✨Know Your SQL Inside Out
Since the role requires strong SQL skills, make sure you brush up on your SQL knowledge. Be prepared to discuss your experience with SQL reports and even tackle some practical questions or exercises during the interview.
✨Understand Debt and Revenue Analysis
Familiarise yourself with key concepts in debt and revenue analysis. Be ready to share examples of how you've used data to drive business decisions in the past, as this will show your potential employer that you can turn data into impactful insights.
✨Prepare for Stakeholder Collaboration Questions
Collaboration is key in this role, so think about times when you've worked with stakeholders. Prepare to discuss how you communicated complex data findings to non-technical team members, as this will demonstrate your ability to bridge the gap between data and decision-making.
✨Show Enthusiasm for the Role
Let your passion for data analysis shine through! Research the company and its Credit Risk team, and be ready to explain why you're excited about the opportunity to contribute to reducing bad debt and supporting business decisions.
