Metadata & Data Quality Analyst – Sainsbury's (Hybrid, London/Home)
Joining Sainsbury's as a Metadata & Data Quality Analyst offers a unique opportunity to play a pivotal role in enhancing data quality and driving impactful changes within the organisation. You will manage and optimise the Group Data Catalogue, implement data quality processes, and collaborate with stakeholders to ensure data integrity and value.
What you'll do
* Drive and deliver the operational management of ‘assured data’ across the organisation by progressing data quality improvements/controls and the Group Data Catalogue content and ownership, ensuring analytics, insights and decisions are based on validated data.
* Manage and optimise the Group Data Catalogue, continuously improving data quality through profiling, rule implementation, and triage processes.
* Identify and prioritise artefacts for ingestion, maintain the Group Data Catalogue, and collaborate with stakeholders to address data quality issues promptly and effectively.
* Facilitate source system data quality remediation and coordinate with the data ownership community to deliver appropriate data quality improvements within agreed timeframes.
What you need to know and show
As a Metadata & Data Quality Analyst at Sainsbury's, you are a meticulous and analytical professional with a deep understanding of data quality management and metadata analysis.
* Advanced SQL skills
* Basic Python Skills
* Strong knowledge of the tools, technologies, skills and processes required to deliver a great data quality capability
* Well versed in and able to demonstrate the concepts of metadata, stewardship, ownership, cataloguing and data quality
* Experience with or as the consumer of a Data Cataloguing capability, such as Alation, Collibra or other
* GitHub working knowledge
* Previous experience of creating reporting and visualisations, using Tableau, Microstrategy, Power BI or other
* Awareness of Data Vault Modelling
* Understanding of design and development of data stores, digital solutions and data warehouses and associated toolsets
* Data and information management lifecycles
* Knowledge and use of data quality methodologies, approaches, and processes
* Degree in a Mathematics and/or a Science discipline
* How to undertake triage, root cause analysis and resolution – Desirable
* Understanding of JIRA – Desirable
* Understanding of Agile principles – Desirable
Skills and Behaviours
* Own it – takes full accountability for data quality issues through to resolution.
* Make it better – identifies opportunities to improve data availability that is trusted.
* Be human – engaging with Senior Engineers and Architects to create standardised processes; builds great working relationships with colleagues (technical and non-technical) and shows care and respect to everyone.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Analyst
Industries
Information Services
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