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- Tasks: Lead data quality initiatives and collaborate with teams to enhance data governance.
- Company: A top-tier insurance firm focused on data-driven excellence.
- Benefits: Competitive salary, comprehensive benefits, and opportunities for professional growth.
- Why this job: Make a significant impact on data quality in a dynamic and supportive environment.
- Qualifications: 5-8+ years in data quality and strong SQL or Python skills required.
- Other info: Join a passionate team dedicated to driving data quality excellence.
The predicted salary is between 42000 - 84000 £ per year.
A leading insurance firm seeks a Senior Data Quality Analyst to enhance data governance in a data-driven environment. This role requires 5-8+ years in data quality and a strong insurance background.
Responsibilities include:
- Leading root cause analysis
- Improving control effectiveness
- Collaborating with data teams to ensure high data quality standards
Proficiency in SQL or Python is essential for querying complex datasets and validating assumptions. Join a dynamic team committed to driving data quality excellence.
Senior Data Quality Analyst — Insurance Data Governance in City of London employer: Oliver James
Contact Detail:
Oliver James Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Quality Analyst — Insurance Data Governance in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the insurance and data quality sectors. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your experience with SQL or Python. This will help you stand out when discussing your qualifications during interviews.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms to refine your responses, especially around root cause analysis and data governance scenarios.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you to join our dynamic team and drive data quality excellence together.
We think you need these skills to ace Senior Data Quality Analyst — Insurance Data Governance in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data quality and insurance. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Showcase Your Skills: Since proficiency in SQL or Python is a must, include specific examples of how you've used these skills in past roles. We love seeing practical applications that demonstrate your expertise!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your qualifications and why you’re a great fit for the team.
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 this exciting opportunity in our dynamic team!
How to prepare for a job interview at Oliver James
✨Know Your Data Inside Out
Make sure you brush up on your data quality principles and insurance knowledge. Be ready to discuss specific examples from your past experience where you've led root cause analysis or improved control effectiveness. This will show that you not only understand the theory but can apply it in practice.
✨Show Off Your Technical Skills
Since proficiency in SQL or Python is essential, prepare to demonstrate your skills during the interview. You might be asked to solve a problem or query a dataset on the spot, so practice writing queries or scripts beforehand. This will help you feel confident and showcase your technical prowess.
✨Collaborate Like a Pro
This role involves working closely with data teams, so be prepared to discuss how you've successfully collaborated in the past. Think of examples where you’ve worked cross-functionally to ensure high data quality standards. Highlight your communication skills and how you can bridge gaps between technical and non-technical teams.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s current data governance challenges or how they measure data quality success. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
