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- Tasks: Ensure data accuracy and consistency while implementing a quality framework in Microsoft Fabric.
- Company: Local housing provider in Birkenhead with a supportive work culture.
- Benefits: 26 days holiday, flexible working, pension scheme, and healthcare plans.
- Why this job: Make a real impact on data quality and help shape trusted data.
- Qualifications: Experience in data analysis and a passion for quality assurance.
- Other info: Join a dynamic team with opportunities for personal and professional growth.
The predicted salary is between 30000 - 40000 £ per year.
A local housing provider in Birkenhead is seeking a Data Quality Analyst for a 12-month fixed-term position. The role focuses on implementing and operating a data quality framework within Microsoft Fabric, ensuring data accuracy and consistency.
Responsibilities include:
- Monitoring data quality rules
- Resolving issues
- Producing stakeholder reports
- Providing training for quality-by-design principles
The position offers 26 days holiday, flexible working, a pension scheme, healthcare plans, and a supportive work environment.
Data Quality Analyst - 12-Month FTC | Shape Trusted Data in Birkenhead employer: Magenta Living
Contact Detail:
Magenta Living Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Quality Analyst - 12-Month FTC | Shape Trusted Data in Birkenhead
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work with data quality. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience with data quality frameworks and Microsoft Fabric. This will give you an edge during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by rehearsing common questions related to data accuracy and consistency. We can help you with mock interviews to boost your confidence.
✨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 Quality Analyst - 12-Month FTC | Shape Trusted Data in Birkenhead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data quality frameworks and Microsoft Fabric. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data quality and how you can contribute to our mission. Keep it engaging and personal – we love to see your personality!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled data quality issues in the past. We’re looking for someone who can think critically and resolve problems effectively, so share those success stories!
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. Plus, it’s super easy!
How to prepare for a job interview at Magenta Living
✨Know Your Data Quality Frameworks
Make sure you brush up on data quality frameworks, especially within Microsoft Fabric. Be ready to discuss how you've implemented or operated similar frameworks in the past, and think of specific examples where you ensured data accuracy and consistency.
✨Prepare for Technical Questions
Expect technical questions related to data quality rules and monitoring processes. We recommend reviewing common data quality issues and how to resolve them, so you can confidently demonstrate your problem-solving skills during the interview.
✨Showcase Your Reporting Skills
Since producing stakeholder reports is a key responsibility, be prepared to talk about your experience with data reporting. Bring examples of reports you've created and how they impacted decision-making, as this will highlight your ability to communicate complex data insights effectively.
✨Emphasise Training Experience
Training others on quality-by-design principles is part of the role, so think about any experience you have in training or mentoring. We suggest preparing a brief overview of how you approach teaching these concepts, as it shows your commitment to fostering a culture of data quality.