At a Glance
- Tasks: Monitor and analyse data quality to support effective Collections & Recoveries operations.
- Company: Join Nationwide Building Society, a leader in financial services with a focus on data integrity.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Flexible working options available to help you thrive in your role.
- Why this job: Make a real impact by ensuring data accuracy and governance in a dynamic environment.
- Qualifications: Strong analytical skills and experience with large data sets are essential.
The predicted salary is between 45000 - 55000 £ per year.
We are looking to hire a Senior Data Quality Analyst to join our Management Information (MI) team at Nationwide Building Society.
This is an exciting opportunity for a data-focused professional to play a key role in ensuring the quality, integrity and governance of data that is critical to the effective operation of our Collections & Recoveries function.
In this role, you will be responsible for monitoring, analysing and reporting on the quality of data owned by and essential to the running of Collections & Recoveries.
Working closely with business stakeholders, you will identify data quality issues, investigate root causes and support the implementation of effective solutions to improve data accuracy, completeness and consistency across the department.
You will also support the department's compliance with Data Governance policies and controls by partnering with the Data Steward to create, define and maintain key data management artefacts, including business terms, metadata, data lineage and business rules.
The successful candidate will play an important role in promoting strong data governance practices, ensuring that data is understood, managed and utilised effectively to support business decision-making, regulatory requirements and customer outcomes.
This role requires strong analytical and problem-solving skills, excellent attention to detail and the ability to build effective relationships with stakeholders across the business.
You will be comfortable working with large and complex data sets, translating technical concepts into meaningful business insights and contributing to the continuous improvement of data quality and governance standards across Collections & Recoveries.
We are happy to consider flexible working approaches to help you perform at your best.
At Nationwide we offer hybrid working wherever possible.
More rewarding relationships are supported through our hybrid approach, bringing colleagues together across our UK wide estate, whilst also supporting generous access to home working.
We value our time in the office to solve problems, to learn, and to feel connected.
For this job you'll be located at our nearest regional office or hub.
There will be a need to regularly connect with colleagues for collaboration and in some locations you’ll be expected to spend at least two days a week, or if part time you'll spend 40% of your working time, in the office.
If your application is successful, your hiring manager will provide further details on how this works.
If we receive a high volume of relevant applications, we may close the advert earlier than the advertised date.
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Senior Data Quality Analyst employer: Nationwide
At Virgin Money, we pride ourselves on being an exceptional employer, offering a supportive and dynamic work environment in Cleckheaton. Our commitment to employee growth is evident through ongoing training and development opportunities, alongside a competitive benefits package that includes generous holiday allowances, health and wellness resources, and a strong pension plan. Join us to be part of a team that values customer care and community impact, where your contributions are recognised and celebrated.
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We think this is how you could land Senior Data Quality Analyst
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We think you need these skills to ace Senior Data Quality Analyst
Some tips for your application 🫡
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✨Brush Up on Your Statistics
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
