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For Companies At a Glance
- Tasks: Monitor QRM systems daily and conduct root cause analysis.
- Company: Join a well-established retail bank in the heart of London.
- Benefits: Enjoy a strong hybrid working model with flexible options.
- Why this job: Be part of a dynamic team making an impact in banking technology.
- Qualifications: Good knowledge of SQL; experience with SAS or Python is a plus.
- Other info: Ideal for those passionate about systems and data analysis.
The predicted salary is between 36000 - 60000 £ per year.
InterQuest are supporting an established retail banking in identifying a QRM Support Analyst to join the bank on a permanent basis in London. The role would be on a hybrid working model and would offer a strong hybrid working model.
- Daily monitoring of QRM
- Root cause analysis
- Good knowledge of SQL and experience of SAS or Python
- Systems and data experience, ideally experience using a QRM system or similar vendor product
- The ability to investigate data
SQL Systems Analyst employer: InterQuest Group
Contact Detail:
InterQuest Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land SQL Systems Analyst
✨Tip Number 1
Familiarise yourself with QRM systems and similar vendor products. Understanding the specific functionalities and common issues can give you an edge during interviews, as you'll be able to discuss your insights and experiences confidently.
✨Tip Number 2
Brush up on your SQL skills by working on real-world projects or online exercises. Being able to demonstrate your proficiency in SQL during technical discussions will show that you're well-prepared for the role.
✨Tip Number 3
Network with professionals in the banking and finance sector, especially those who work with QRM systems. Engaging in conversations can provide valuable insights and potentially lead to referrals for the position.
✨Tip Number 4
Prepare for potential technical assessments by practising root cause analysis scenarios. Being able to articulate your thought process and problem-solving approach will impress interviewers and demonstrate your analytical skills.
We think you need these skills to ace SQL Systems Analyst
Some tips for your application 🫡
Understand the Role: Take time to thoroughly read the job description for the SQL Systems Analyst position. Make sure you understand the key responsibilities, such as daily monitoring of QRM and root cause analysis, as well as the required skills like SQL, SAS, or Python.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that match the job requirements. Emphasise your knowledge of SQL and any experience with QRM systems or similar vendor products, as this will make your application stand out.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the role and the banking industry. Mention specific examples of how your previous experience aligns with the responsibilities of the SQL Systems Analyst position, particularly in data investigation and systems experience.
Proofread Your Application: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects attention to detail, which is crucial for a role involving data analysis.
How to prepare for a job interview at InterQuest Group
✨Brush Up on SQL Skills
Make sure you have a solid understanding of SQL, as this is crucial for the role. Be prepared to answer technical questions or even solve problems on the spot that demonstrate your SQL proficiency.
✨Familiarise Yourself with QRM Systems
Since the role involves daily monitoring of QRM, it’s essential to understand how these systems work. Research common issues and solutions related to QRM systems to show your proactive approach.
✨Prepare for Root Cause Analysis Questions
Expect questions that assess your ability to perform root cause analysis. Think of examples from your past experience where you successfully identified and resolved issues, and be ready to discuss your thought process.
✨Showcase Your Data Investigation Skills
Highlight your experience in investigating data and any relevant tools you've used, such as SAS or Python. Be prepared to discuss specific projects where you utilised these skills to derive insights or solve problems.
