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- Tasks: Enhance data integrity and usability while collaborating with various business units.
- Company: Leading insurance provider in Greater London with a focus on innovation.
- Benefits: Competitive benefits package and flexible work arrangements.
- Why this job: Make a real impact on data quality in the insurance sector.
- Qualifications: Experience in data quality, SQL proficiency, and strong stakeholder management skills.
- Other info: Join a dynamic team with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading insurance provider in Greater London is seeking a Data Quality Business Partner to enhance data integrity and usability. The role involves collaborating with various business units, ensuring data quality standards, and driving process improvements.
Ideal candidates will have:
- Experience in data quality within the insurance sector
- Proficiency in SQL and data visualization tools
- Excellent stakeholder management skills
This full-time position offers a competitive benefits package and flexible work arrangements.
Data Quality & Analytics Partner in London employer: AXIS Capital
Contact Detail:
AXIS Capital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Quality & Analytics Partner in London
✨Tip Number 1
Network like a pro! Reach out to folks in the insurance sector, especially those who work with data quality. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! If you've got experience with SQL or data visualisation tools, make sure to highlight that in conversations. Bring examples of how you've improved data integrity in past roles to the table.
✨Tip Number 3
Prepare for stakeholder management discussions. Think about how you've collaborated with different teams before and be ready to share those stories. It’s all about demonstrating your ability to drive process improvements!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate candidates like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Data Quality & Analytics Partner in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data quality, especially within the insurance sector. We want to see how your skills in SQL and data visualisation tools can shine through!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for the Data Quality & Analytics Partner role. Share specific examples of how you've improved data integrity and collaborated with stakeholders in the past.
Showcase Your Skills: Don’t forget to mention your proficiency in SQL and any data visualisation tools you’ve used. We love seeing candidates who can demonstrate their technical skills alongside their analytical mindset!
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!
How to prepare for a job interview at AXIS Capital
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data quality standards, especially within the insurance sector. Be prepared to discuss specific examples of how you've enhanced data integrity in previous roles.
✨Show Off Your SQL Skills
Since proficiency in SQL is a must, practice some common queries and be ready to demonstrate your skills. You might even be asked to solve a problem on the spot, so having a few examples up your sleeve can really impress.
✨Stakeholder Management is Key
Think about times when you've successfully collaborated with different business units. Prepare to share stories that highlight your communication skills and ability to drive process improvements through teamwork.
✨Visualise Your Success
Familiarise yourself with data visualisation tools and be ready to discuss how you've used them to present data insights. Bring along examples of your work if possible, as this can really showcase your analytical capabilities.
