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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 22800 - 42000 £ 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) 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)
✨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 mock interviews with friends or using online platforms to get comfortable discussing your experience and how it relates to the role.
✨Tip Number 3
Showcase your analytical skills! Bring examples of past projects where you improved data quality or compliance. We love seeing real-life applications of your skills, so be ready to discuss your contributions in detail.
✨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)
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 Collaboration Skills: Since this role involves working closely with data owners, make sure to mention any past experiences where you’ve successfully collaborated with others. We love team players who can communicate effectively!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and get you one step closer to joining our team!
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 in previous roles, as this will show your understanding of the requirements.
✨Understand the Financial Services Landscape
Since financial services experience is a plus, do some research on current trends and challenges in the banking sector. This knowledge will help you demonstrate your interest in the industry and how you can contribute to the company's goals.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical data quality issues or audit scenarios. Practise articulating your thought process clearly, as this will showcase your analytical skills and problem-solving abilities.
✨Showcase Your Collaboration Skills
As you'll be working closely with data owners, be ready to discuss how you've successfully collaborated with others in the past. Highlight any experiences where you’ve had to communicate complex data findings to non-technical stakeholders.
