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- Tasks: Enhance data quality and manage the Group Data Catalogue for impactful changes.
- Company: Leading UK supermarket chain with a focus on data integrity.
- Benefits: Competitive salary, discounts, pension schemes, and performance-related bonuses.
- Why this job: Join a dynamic team and make a real difference in data quality.
- Qualifications: Advanced SQL skills and basic Python knowledge required.
- Other info: Enjoy hybrid working with great career development opportunities.
The predicted salary is between 36000 - 60000 £ per year.
A leading supermarket chain in the UK is seeking a Metadata & Data Quality Analyst to enhance data quality and drive impactful changes. The chosen candidate will manage the Group Data Catalogue, ensuring data integrity, and implementing quality processes. You will work in a dynamic team, leveraging advanced SQL and basic Python skills. This role allows for hybrid working, combining in-office and home locations, offering a competitive salary along with distinct benefits such as discounts, pension schemes, and performance-related bonuses.
Metadata & Data Quality Analyst — Hybrid (SQL + Python) employer: Sainsbury's Supermarkets Ltd
Contact Detail:
Sainsbury's Supermarkets Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Metadata & Data Quality Analyst — Hybrid (SQL + Python)
✨Tip Number 1
Network like a pro! Reach out to current employees at the supermarket chain on LinkedIn. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Prepare for the interview by brushing up on your SQL and Python skills. We should be ready to showcase our technical know-how with real examples of how we've used these tools to enhance data quality.
✨Tip Number 3
Showcase our passion for data! During interviews, let’s share our thoughts on the importance of data integrity and how we can drive impactful changes in the role. It’ll set us apart from the crowd.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can keep track of our application status easily.
We think you need these skills to ace Metadata & Data Quality Analyst — Hybrid (SQL + Python)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your SQL and Python skills, as well as any experience with data quality processes. We want to see how you can enhance data integrity in your previous roles!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data quality and how you can drive impactful changes. Share specific examples of your past work that relate to the role!
Showcase Your Team Spirit: Since you'll be working in a dynamic team, let us know about your collaborative experiences. We love candidates who can work well with others and contribute to a positive team environment!
Apply Through Our Website: For the best chance of success, make sure to apply through our website. It’s the easiest way for us to receive your application and get to know you better!
How to prepare for a job interview at Sainsbury's Supermarkets Ltd
✨Know Your SQL and Python
Brush up on your SQL and basic Python skills before the interview. Be ready to discuss how you've used these languages in past projects, as well as any specific functions or libraries that are relevant to data quality and metadata management.
✨Understand Data Quality Concepts
Familiarise yourself with key data quality concepts and processes. Be prepared to explain how you would ensure data integrity and what steps you would take to implement quality processes in a data catalogue.
✨Show Your Team Spirit
Since this role involves working in a dynamic team, be ready to share examples of how you've collaborated with others in previous roles. Highlight your communication skills and how you contribute to a positive team environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and how the role fits into their overall goals. This shows your genuine interest in the position and helps you assess if it's the right fit for you.
