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- Tasks: Enhance data quality and manage the Group Data Catalogue using SQL and Python.
- Company: Leading UK supermarket with a focus on data excellence.
- Benefits: Flexible working, employee discounts, and performance-related bonuses.
- Why this job: Join a dynamic team and make a real impact on data quality standards.
- Qualifications: Advanced SQL skills and basic Python knowledge required.
- Other info: Hybrid role in Greater London with great career development opportunities.
The predicted salary is between 36000 - 60000 £ per year.
A leading UK supermarket is looking for a meticulous Metadata & Data Quality Analyst who will enhance the operational management of their Group Data Catalogue. You will be responsible for driving data quality improvements using advanced SQL and basic Python skills while collaborating with multiple teams to ensure high-quality data standards.
This hybrid position in Greater London offers a range of benefits including flexible working, employee discounts, and performance-related bonuses.
Metadata & Data Quality Analyst — SQL Mastery employer: Sainsbury's
Contact Detail:
Sainsbury's Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Metadata & Data Quality Analyst — SQL Mastery
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your SQL skills! Prepare a mini-project or case study that highlights your data quality improvements. We can’t stress enough how showcasing your practical skills can set you apart from the crowd.
✨Tip Number 3
Practice your interview skills! Mock interviews with friends or using online platforms can help us nail those tricky questions. Remember, confidence is key, so let your passion for data shine through!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for talented individuals who are ready to make an impact in the world of data.
We think you need these skills to ace Metadata & Data Quality Analyst — SQL Mastery
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your SQL mastery and any relevant experience with data quality. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Metadata & Data Quality Analyst position. Share specific examples of how you've driven data quality improvements in the past.
Showcase Your Collaboration Skills: Since this role involves working with multiple teams, make sure to mention any experiences where you’ve successfully collaborated with others. We love seeing teamwork in action!
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 us!
How to prepare for a job interview at Sainsbury's
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss complex queries, data manipulation, and how you've used SQL in past projects. Practising common SQL problems can really help you stand out.
✨Showcase Your Data Quality Experience
Be ready to share specific examples of how you've improved data quality in previous roles. Think about the challenges you faced and the solutions you implemented. This will demonstrate your meticulous nature and problem-solving skills.
✨Understand the Company’s Data Needs
Research the supermarket's data management practices and their Group Data Catalogue. Knowing their current challenges and how you can contribute will show that you're genuinely interested in the role and ready to hit the ground running.
✨Prepare for Team Collaboration Questions
Since this role involves working with multiple teams, be prepared to discuss your experience in collaborative environments. Think of examples where you successfully worked with others to achieve a common goal, highlighting your communication skills and adaptability.
