Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse metadata and ensure data quality while collaborating with diverse teams.
- Company: Join Sainsbury's, one of the UK's largest supermarkets with a vibrant culture.
- Benefits: Enjoy discounts, flexible working, performance bonuses, and comprehensive wellbeing support.
- Why this job: Be part of a dynamic team that values growth and innovation in a fast-paced environment.
- Qualifications: A passion for data analysis and strong communication skills are essential.
- Other info: Explore exciting career development opportunities and make a real impact.
The predicted salary is between 36000 - 60000 £ per year.
Overview
This is a 12 month FTC. Metadata builds great working relationships with colleagues (technical and non-technical) and shows care and respect to everyone.
Qualifications
We are committed to being a truly inclusive retailer so you’ll be welcomed whoever you are and wherever you work. Around here, there’s always the chance to try something new — whether that’s as part of an evolving team or somewhere else across the business - and we take development seriously and promise to support you. We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working. When you join our team, we’ll also offer you an amazing range of benefits. Here are some of them:
- Starting off with colleague discount, you’ll be able to save 10% on your shopping online and instore at Sainsbury's, Argos, TU and Habitat, and we regularly increase the discount to 15% at points during the year.
- We’ve also got you covered for your future with our pensions scheme and life cover.
- You’ll also be able to share in our success as you may be eligible for a performance-related bonus of up to 10% of salary, depending on how we perform.
- Your wellbeing is important to us too. You’ll receive an annual holiday allowance and you can buy up to an additional week’s holiday.
- We also offer other benefits that will help your money go further such as season ticket loans, cycle to work scheme, health cash plans, salary advance (where you can access some of your pay before pay day) as well access to a great range of discounts from hundreds of other retailers.
- And if you ever need it there is also an employee assistance programme.
- Moments that matter are as important to us as they are to you which is why we give up to 26 weeks’ pay for maternity or adoption leave and up to 4 weeks’ pay for paternity leave.
Please see www.sainsburys.jobs for a range of our benefits (note, length of service and eligibility criteria may apply).
Responsibilities
We’d all like amazing work to do, and real work-life balance. That’s waiting for you at Sainsbury’s. We’re one of the biggest supermarkets in the UK with one of the largest websites. So marketing here really happens at scale. We move a lot faster than you’d think too, across Brand Planning, Brand Comms and Creative, Digital Marketing, CRM and Loyalty, Nectar 360, Insights, and Corporate Responsibility and Sustainability. More people shopping with us each week means more interactions. And thanks to data insight, we understand customers in a way that almost nobody else does. We work alongside incredible brand partners and the best agencies around. So if you have a passion to learn, grow and experience new teams, come and explore it all with us.
Metadata & Data Quality Analyst employer: Sainsbury's
Contact Detail:
Sainsbury's Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Metadata & Data Quality Analyst
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by researching the company culture and values. Show them you’re not just a fit for the role, but for the team too. We want to see that you care about what they stand for!
✨Tip Number 3
Practice common interview questions with a mate. The more comfortable you are, the better you’ll come across. Plus, it’s a great way to refine your answers and boost your confidence!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Metadata & Data Quality Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Metadata & Data Quality Analyst role. Highlight relevant experience and skills that match the job description. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about this role and how your background makes you a great fit. Keep it engaging and personal, so we get a sense of who you are.
Showcase Your Soft Skills: Since we value great working relationships, don’t forget to showcase your soft skills in your application. Mention how you’ve collaborated with both technical and non-technical colleagues in the past.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Sainsbury's
✨Know Your Data
As a Metadata & Data Quality Analyst, it's crucial to demonstrate your understanding of data management and quality assurance. Brush up on key concepts related to metadata, data integrity, and data governance. Be ready to discuss how you've applied these principles in past roles.
✨Showcase Your Communication Skills
This role involves working with both technical and non-technical colleagues, so highlight your ability to communicate complex data concepts clearly. Prepare examples of how you've successfully collaborated with diverse teams in the past, showcasing your interpersonal skills.
✨Emphasise Your Problem-Solving Abilities
Data quality issues can arise unexpectedly, so be prepared to discuss how you've tackled challenges in previous positions. Think of specific instances where you identified a problem, analysed the data, and implemented a solution. This will show your analytical mindset and proactive approach.
✨Align with Company Values
Sainsbury's values inclusivity and development, so make sure to express your alignment with these principles. Share experiences that reflect your commitment to teamwork, respect for others, and your eagerness to learn and grow within the company. This will resonate well with the interviewers.
