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- Tasks: Ensure top-notch product data integrity and assist suppliers with data inquiries.
- Company: Probrand, a dynamic company in Birmingham focused on quality operations.
- Benefits: Competitive salary, 31 days’ holiday, and flexible hybrid working options.
- Other info: Exciting opportunity for growth in a supportive environment.
- Why this job: Join a team that values detail and communication while making an impact.
- Qualifications: Strong attention to detail and effective communication skills required.
The predicted salary is between 27626 - 27626 £ per year.
Probrand is seeking a Data Quality Assistant in Birmingham to support the Operations team by ensuring high standards of product data integrity across marketplace portals. The role includes processing data, conducting quality checks, and assisting suppliers with data-related inquiries.
Ideal candidates should have strong attention to detail and effective communication skills.
Benefits include a basic salary of £27,626.30 per annum, 31 days’ holiday, and hybrid working options.
Data Quality Specialist - Catalogues & Feeds (Hybrid) in Birmingham employer: Probrand
Contact Detail:
Probrand Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Quality Specialist - Catalogues & Feeds (Hybrid) in Birmingham
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions related to data quality and integrity. We recommend doing mock interviews with friends or using online resources to boost your confidence and refine your answers.
✨Tip Number 3
Showcase your attention to detail! Bring examples of how you've ensured data accuracy in past roles or projects. This will demonstrate your skills and make you stand out as a candidate who truly understands the importance of data quality.
✨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 take the initiative to engage directly with us.
We think you need these skills to ace Data Quality Specialist - Catalogues & Feeds (Hybrid) in Birmingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your attention to detail and any relevant experience with data processing. We want to see how your skills align with the role of Data Quality Specialist!
Craft a Compelling Cover Letter: Use your cover letter to showcase your communication skills and explain why you're passionate about maintaining product data integrity. Let us know what excites you about working with Probrand!
Showcase Relevant Experience: If you've worked with data before, whether in a job or during your studies, make sure to mention it! We love seeing examples of how you've handled data-related tasks in the past.
Apply Through Our Website: For the best chance of success, apply directly through our website. It helps us keep track of applications and ensures you’re considered for the Data Quality Assistant role!
How to prepare for a job interview at Probrand
✨Know Your Data
Before the interview, brush up on your understanding of data quality principles and practices. Be ready to discuss how you would ensure product data integrity and what methods you would use for conducting quality checks.
✨Showcase Attention to Detail
Prepare examples from your past experiences where your attention to detail made a significant impact. Whether it’s catching errors in data or improving processes, having specific anecdotes will demonstrate your capability for this role.
✨Communicate Clearly
Since effective communication is key in this role, practice articulating your thoughts clearly. You might be asked to explain complex data issues or how you would assist suppliers, so being concise and clear will set you apart.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the tools they use for data processing or how the team collaborates on data-related inquiries. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.