Join Our Team as a Metadata & Data Quality Analyst at Sainsbury's

We are seeking a skilled Metadata & Data Quality Analyst to drive and enhance the operational management of 'assured data' across Sainsbury's. This vital position entails advancing data quality improvements, managing the Group Data Catalogue, and ensuring that analytics and decisions are grounded in validated data.

Key Responsibilities:

Operational Management: Oversee the daily management of the Group Data Catalogue, maximize its features, and maintain the catalogue by removing outdated or unused data sources.

Data Quality Enhancement: Improve data quality through profiling, rule implementation, and develop data quality triage processes to address and prioritize quality issues.

Collaboration and Coordination: Work closely with various teams utilizing a mix of systems and technologies, and coordinate with the data ownership and stewardship community to promote data quality improvements.

Strategy and Planning: Facilitate source system data quality remediation, manage workload with forward planning, and engage in root cause analysis to provide strategic recommendations.

Skills and Qualifications:

Technical Expertise: Advanced SQL skills, and strong familiarity with tools such as Alation, Collibra, GitHub, and data visualization tools like Tableau, Microstrategy, and Power BI.

Data Management: Comprehensive understanding of metadata, stewardship, cataloguing, data quality, and data vault modelling.

Educational Background: A degree in Mathematics, Science, or a related field is preferred.

Desirable Skills: Knowledge of JIRA, Agile principles, and the ability to undertake triage and root cause analysis.

Professional Attributes:

Ownership: Takes full accountability for resolving data quality issues.

Innovation: Identifies and implements opportunities to enhance the trust and availability of data.

Collaboration: Builds strong relationships across technical and non-technical teams, promoting standardised processes and mutual respect.

Why Join Sainsbury's?

At Sainsbury's, we are dedicated to maintaining a modern software engineering environment with a focus on learning and development through our Tech Academy. Embrace the opportunity to work with cutting-edge technologies and methodologies such as Agile, Scrum, and XP, and contribute to projects involving AI and reusable tech.

We are committed to inclusion and development, offering a welcoming environment regardless of background. Enjoy a comprehensive range of benefits including significant discounts, a shares scheme, pensions, and competitive holiday entitlement. We support work-life balance and professional growth, ensuring that our team members are recognized and celebrated for their contributions.

Ready to make an impact in one of the UK's leading retail organisations? Visit to apply for the position of Metadata & Data Quality Analyst and discover more about our exceptional benefits and vibrant company culture.