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- Tasks: Review and audit data quality while ensuring compliance with requirements.
- Company: Leading recruitment agency in London with a focus on innovation.
- Benefits: Salary of £38,000, great benefits, hybrid work model.
- Why this job: Join a dynamic team and make an impact in the banking sector.
- Qualifications: Solid understanding of data analysis; financial services experience is a plus.
- Other info: Flexible working with 2 days in the office and 3 days remote.
The predicted salary is between 38000 - 53200 £ per year.
A leading recruitment agency in London is seeking a Data Analyst/Data Auditor for a hybrid role. You will review and audit data quality, ensuring compliance with requirements while collaborating with data owners.
The ideal candidate should have a solid understanding of data analysis, financial services experience is a plus, and familiarity with SQL and SCV files would be advantageous.
The position offers a salary of £38,000 plus great benefits, with 2 days in the office and 3 days working from home.
SCV Data Analyst – Banking Quality & Audit (Hybrid) in London employer: Adecco UK
Contact Detail:
Adecco UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land SCV Data Analyst – Banking Quality & Audit (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to people in the banking and data analysis sectors. Use LinkedIn to connect with professionals and join relevant groups. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Prepare for interviews by brushing up on your SQL skills and understanding SCV files. We recommend doing some mock interviews with friends or using online platforms to get comfortable with common questions related to data quality and compliance.
✨Tip Number 3
Showcase your analytical skills! Bring examples of past projects where you improved data quality or compliance. We love seeing real-world applications of your skills, so be ready to discuss how you can add value to the 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 often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace SCV Data Analyst – Banking Quality & Audit (Hybrid) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your data analysis skills and any relevant experience in financial services. We want to see how your background aligns with the role, so don’t be shy about showcasing your SQL knowledge and any work with SCV files!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Analyst position and how your skills can help us ensure data quality and compliance. Keep it concise but impactful!
Showcase Your Attention to Detail: As a Data Analyst, attention to detail is key. In your application, highlight specific examples where you’ve successfully audited data or improved data quality. This will show us you’re the right fit for the role!
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. Plus, we love seeing applications come in through our platform!
How to prepare for a job interview at Adecco UK
✨Know Your Data Inside Out
Make sure you brush up on your data analysis skills, especially in relation to SQL and SCV files. Be prepared to discuss specific examples of how you've ensured data quality and compliance in previous roles.
✨Showcase Your Financial Services Knowledge
If you have experience in financial services, highlight it! Prepare to talk about how your background can contribute to the role, especially in terms of understanding regulatory requirements and data auditing.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical data issues or audit scenarios. Practise articulating your thought process clearly, as this will demonstrate your analytical skills and problem-solving abilities.
✨Emphasise Collaboration Skills
Since the role involves working with data owners, be ready to discuss your teamwork experiences. Share examples of how you've successfully collaborated with others to improve data quality and achieve compliance.
