At a Glance
- Tasks: Ensure data accuracy and reliability to support business decisions.
- Company: Overdales Legal, a dynamic firm in Leeds with a focus on data quality.
- Benefits: Hybrid working model, competitive salary, and opportunities for professional growth.
- Other info: Join a supportive team in a vibrant work environment.
- Why this job: Play a key role in enhancing data quality and making impactful decisions.
- Qualifications: Attention to detail and problem-solving skills are essential.
The predicted salary is between 35252 - 43086 £ per year.
Overdales Legal is hiring two Data Quality Administrators to join our Data Quality function at Thorpe Park, Leeds.
This hybrid role focuses on ensuring customer, client and operational data is accurate and reliable to support decision-making across the business.
You’ll investigate issues, review and validate data, identify trends and root causes, and help ensure data flows smoothly through systems and processes.
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Data Quality Administrator - Hybrid Data & Insights in Leeds employer: Lowell Financial Ltd
Lowell in Leeds offers a dynamic and supportive work environment for the Hybrid Strategic Colleague Relations Partner role, where you can thrive in a culture that values collaboration and innovation. With a focus on employee growth, you will have access to ongoing development opportunities while working in a hybrid model that promotes work-life balance. The company's commitment to fair outcomes and capability building ensures that you will play a vital role in shaping a positive colleague experience in a fast-paced setting.
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We think this is how you could land Data Quality Administrator - Hybrid Data & Insights in Leeds
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We think you need these skills to ace Data Quality Administrator - Hybrid Data & Insights in Leeds
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Lowell Financial Ltd
✨Brush Up on Your Statistics
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