At a Glance
- Tasks: Enhance data quality across insurance systems and engage with stakeholders.
- Company: Leading specialty insurance provider in Greater London.
- Benefits: Comprehensive employee benefits and a supportive work environment.
- Why this job: Make a real impact on data quality in the insurance sector.
- Qualifications: Experience in insurance, SQL proficiency, and strong communication skills.
- Other info: Opportunity to work in a dynamic and collaborative team.
The predicted salary is between 36000 - 60000 £ per year.
A leading specialty insurance provider located in Greater London is seeking a Data Quality Business Partner to enhance data quality across their insurance systems. The successful candidate will engage with various stakeholders to align on data standards and implement best practices.
Candidates should have proven experience in the insurance sector, proficiency in SQL and data visualization tools, and strong communication skills.
Offer includes comprehensive benefits for employees.
Data Quality Partner for Insurance & Analytics in London employer: Axis
Contact Detail:
Axis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Quality Partner for Insurance & Analytics in London
✨Tip Number 1
Network like a pro! Reach out to folks in the insurance sector on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Quality Partner role.
✨Tip Number 2
Show off your SQL skills! If you get the chance for an interview, be ready to discuss specific projects where you’ve used SQL and data visualisation tools. We want to see how you’ve tackled data quality issues in the past.
✨Tip Number 3
Prepare for those stakeholder conversations! Brush up on your communication skills and think about how you can align data standards with different teams. We need to demonstrate that you can engage effectively with various stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. We’re excited to see your passion for enhancing data quality in the insurance sector!
We think you need these skills to ace Data Quality Partner for Insurance & Analytics in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in the insurance sector and showcases your SQL and data visualisation skills. We want to see how your background aligns with the role of Data Quality Partner!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about enhancing data quality and how you can engage with stakeholders effectively. Let us know what makes you the perfect fit for our team.
Showcase Your Communication Skills: Since strong communication is key for this role, make sure to demonstrate your ability to convey complex ideas clearly in your application. We love candidates who can connect with various stakeholders effortlessly!
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 from our team!
How to prepare for a job interview at Axis
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data quality standards and best practices in the insurance sector. Be ready to discuss specific examples from your past experience where you've successfully enhanced data quality.
✨Show Off Your SQL Skills
Since proficiency in SQL is a must, prepare to demonstrate your skills. You might be asked to solve a problem or explain how you would approach a data quality issue using SQL. Practise common queries and be ready to talk through your thought process.
✨Engage with Stakeholders
Highlight your communication skills by preparing to discuss how you've previously engaged with various stakeholders. Think of examples where you aligned on data standards or implemented changes based on stakeholder feedback. This shows you can bridge the gap between technical and non-technical teams.
✨Visualisation Matters
Familiarise yourself with data visualisation tools and be prepared to discuss how you've used them to present data quality insights. Bring examples of dashboards or reports you've created that helped drive decisions in your previous roles.