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- Tasks: Lead a new Data Quality team and execute a data quality strategy.
- Company: A leading insurance company with a focus on innovation.
- Benefits: Hybrid work flexibility, competitive salary, and health programmes.
- Why this job: Join a growing team and make a significant impact in data quality.
- Qualifications: Significant data experience and strong analytical skills required.
- Other info: Great leadership opportunities in a dynamic environment.
The predicted salary is between 42000 - 84000 £ per year.
A leading insurance company is seeking a Senior Data Quality Analyst in Chandler's Ford to lead their new Data Quality team within Enterprise Data Services. The role offers leadership opportunities in executing a data quality strategy and working with a growing team.
Candidates should have significant data experience, including data quality leadership and strong analytical skills.
This position offers hybrid work flexibility along with competitive salary and benefits, including health and well-being programs.
Senior Data Quality Leader — Strategy & Transformation employer: Ageas
Contact Detail:
Ageas Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Quality Leader — Strategy & Transformation
✨Tip Number 1
Network like a pro! Reach out to people in the insurance and data quality sectors on LinkedIn. A friendly chat can open doors and give you insights that might just land you that Senior Data Quality Leader role.
✨Tip Number 2
Prepare for those interviews by brushing up on your data quality strategies. We recommend practising common interview questions and scenarios related to data leadership. Show them you’re not just a fit, but the perfect fit!
✨Tip Number 3
Don’t underestimate the power of follow-ups! After an interview, drop a quick thank-you email to express your appreciation. It keeps you fresh in their minds and shows your enthusiasm for the role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. Let’s get you into that Senior Data Quality Analyst position!
We think you need these skills to ace Senior Data Quality Leader — Strategy & Transformation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the specific skills and experiences that align with the Senior Data Quality Leader role. Highlight your data quality leadership experience and analytical skills to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for our Data Quality team. Share your passion for data quality and how you can contribute to our strategy and transformation efforts.
Showcase Your Achievements: Don’t just list your responsibilities; showcase your achievements in previous roles. Use metrics and examples to demonstrate how you've successfully led data quality initiatives in the past.
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 Chandler's Ford!
How to prepare for a job interview at Ageas
✨Know Your Data Inside Out
Make sure you brush up on your data quality knowledge. Understand the key concepts and methodologies related to data quality management, as well as any specific tools or technologies the company might use. Being able to discuss these confidently will show that you're not just familiar with the basics but are ready to lead a team.
✨Showcase Your Leadership Skills
Prepare examples from your past experiences where you've successfully led a team or project. Highlight how you motivated others, resolved conflicts, and drove results. This role is about leadership, so demonstrating your ability to inspire and guide a team will be crucial.
✨Understand the Company’s Data Strategy
Research the insurance company's current data strategy and any recent initiatives they've undertaken. Being able to discuss how your vision aligns with their goals will set you apart. It shows that you’re proactive and genuinely interested in contributing to their success.
✨Prepare for Analytical Challenges
Expect to face some analytical challenges during the interview. Brush up on your problem-solving skills and be ready to tackle hypothetical scenarios related to data quality issues. Practising how you would approach these problems will help you articulate your thought process clearly.
