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- Tasks: Help teams manage and improve their data for better clarity and quality.
- Company: Join Aviva, a leading company focused on data excellence.
- Benefits: Enjoy competitive pay, flexible working, and opportunities for growth.
- Other info: Be part of a supportive team with great career advancement potential.
- Why this job: Make a real difference by enhancing data management across the organisation.
- Qualifications: Strong attention to detail and a passion for data stewardship.
The predicted salary is between 30000 - 40000 £ per year.
Do you love bringing clarity, quality and order to data? If so, this role gives you the opportunity to apply hands-on stewardship skills, helping teams across Aviva manage and improve the data they rely on every day.
A bit about the job:
- We’re looking for a number of Data Management Associates to support the adoption of enterprise data capabilities across Aviva’s Markets and Functions.
Locations
Data Management Associate in Norfolk, Norwich employer: Aviva
Contact Detail:
Aviva Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Management Associate in Norfolk, Norwich
✨Tip Number 1
Network like a pro! Reach out to people in the data management field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Prepare for interviews by practising common questions related to data management. We recommend using the STAR method to structure your answers, showcasing your skills and experiences effectively.
✨Tip Number 3
Showcase your passion for data! During interviews, share examples of how you've improved data quality or clarity in past roles. We want to see your hands-on stewardship skills in action!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Management Associate in Norfolk, Norwich
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let us know why you love data! Share specific examples of how you've brought clarity and order to data in your previous roles. This will help us see your enthusiasm and fit for the Data Management Associate position.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this role. Highlight relevant experiences that align with the job description, especially any hands-on stewardship skills you've developed. We want to see how you can contribute to our team!
Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read. Remember, clarity is key, just like the role you're applying for!
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 the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Aviva
✨Know Your Data Inside Out
Before the interview, make sure you brush up on data management principles and practices. Familiarise yourself with common data quality issues and how to resolve them, as well as any tools or software mentioned in the job description.
✨Showcase Your Stewardship Skills
Prepare examples from your past experiences where you've successfully managed data or improved its quality. Be ready to discuss specific challenges you faced and how you overcame them, demonstrating your hands-on stewardship skills.
✨Understand Aviva's Data Needs
Research Aviva and its various markets and functions. Understand their data management goals and challenges, so you can tailor your responses to show how you can contribute to their enterprise data capabilities.
✨Ask Insightful Questions
At the end of the interview, don’t hesitate to ask questions that show your interest in the role and the company. Inquire about the data management strategies they currently employ and how the team collaborates across different functions.