The big question: why on earth should a Tech professional like you work for a 150-year-old retail chain? Because we’re on a journey. Changing the way we operate.  Learning to think nimble. Giving our teams the time and freedom they need to push boundaries. To create amazing systems and technologies. To give our colleagues and our customers even more incredible experiences.

There are thousands of experts to talk to and learn from. We’ve got data from billions of transactions for our teams to play with. Things get built here. They get made here. They hit customers and colleagues quickly. Welcome to the home of Sainsbury's Tech.

This role will drive and deliver Data Quality improvements to make great quality, well understood data available to the people that can then drive analytics and insights into the business.

The role will involve working across a mix of systems with a range of tools and technologies.

The fundamental principle is that data is a corporate asset and, as such, we need to manage and govern it in a way which creates value from that asset.

What I need to do

• Work to continuously improve the data quality within the organisation across supply chain data with a focus on value
• Be able to measure improvements in quality and identify the value that delivers
• Work with supply chain stakeholders to identify key DQ focus areas
• Triage data quality issues, understand impact and importance and prioritise workload to address
• Ensure data quality issues are addressed at source and work with relevant owners to drive through necessary actions
• Embed pro-active supply chain data quality in key source areas
• Help progress the maturity of the DQ team by taking ownership for an area of the maturity roadmap
• Use data ownership and stewardship community to drive appropriate data quality improvements
• Help implement data quality management framework, processes, principles and standards
• Manage and contribute to appropriate artefacts
• Prioritise work, manage time effectively and complete tasks within agreed timeframes
• Identify, undertake root cause analysis and addressing real and perceived issues with data quality
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How I will succeed

• Be a great team player
• Be a problem solver
• Identify and resolve data quality issues
• Work towards automation of data quality monitoring
• Developing a great relationship with owners, stewards, peers at Sainsbury’s Tech
• Be a great communicator and advocate of the benefits of great data quality
• Have the ability to manage senior stakeholders, create alignment and broker solutions
• Bring groups of people together from across the organisation to address issues
• Being focussed on driving value back into the business through pro-active improvements
• Managing a complex mix of work within tight timescales
• Be seen to be the ‘can-do’ enabler for the user community
• Be a subject matter expert of all things data quality across traditional, open source, digital and cloud based environments
• Develop and utilise your existing network outside and/or within the organisation to share, learn, develop new and enhance existing capabilities – encourage your team to do the same
• Strive to become a luminary in data quality
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What I need to know

• Strong knowledge of the tools, technologies, skills and processes required to deliver a great data quality capability
• Well versed with the concepts of data quality preferably in retail domain
• Excellent SQL skills (To be applied in, Snowflake and Oracle)
• Working knowledge of Python
• GitHub working knowledge
• AWS (or other cloud provider) working knowledge
• Previous experience of creating visualisations
• Understanding of Agile principles and JIRA usage
• 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 toolsets, methodologies and process
• How to undertake triage, root cause analysis and resolution
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What I need to show

• The ability to influence stakeholders through great communication and relationship development skills – Get them to own data quality issues and support resolution
• Drive to take ownership of datasets and ensure that good quality data is available to business stakeholders
• Ability to work with both technical and non-technical colleagues.
• The ability to bring a group of people together, facilitate workshops, identify and drive through clear ownership and action
• Good technical data quality skills and the drive to improve them
• Pro-active, self-starter attitude and a fast learner – ability to manage own workload
• The desire and suggestions of how to improve what we do and how we do it
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Resources available to me

• People – an appropriately sized and skilled team including a line manager to assist with your development
• Toolsets – a set of existing capabilities that can be supplemented and enhanced as required
• A wholly engaged business – keen to have ‘data sorted’ and equally keen to help
• A strong in flight programme of toolset implementation

What decisions I can make

• How to manage time and tasks
• Level of focus and engagement on personal development
• How to deliver
• Level of pro-activity in driving successful outcomes
• Approach to stakeholder management