Data Quality Support Analyst

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 colleagues 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, improve 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 all data types, commercial, customer, colleague and product data with a focus on value
• Be able to measure improvements in quality and identify the value that delivers
• Work with the delivery squads identifying 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
• Monitor and maintaining accuracy, alignment and quality in a pro-active manner – embed pro-active data quality profiling in key source areas
• Help support the process to embed data quality by design in the development process including source data profiling
• Utilise data lineage to understand downstream impacts of data quality issues and ensure pro-active altering is in place for end users
• Have the flexibility to work in a standard approach as well as supporting rapid discovery, prototyping and data science
• Use data ownership and stewardship community to drive appropriate data quality improvements
• Help implement data quality management framework, processes, principles and standards
• Manage and help create appropriate artefacts
• Support the implementation of the appropriate toolsets and applications
• 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

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
• Have good knowledge 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

What I need to know

• 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
• Basic SQL skills (To be applied in SAS, Snowflake and Oracle)
• Working knowledge of Python
• Previous experience of creating visualisations
• Understanding of Agile principles and JIRA usage
• Understanding of concepts of Data Vault Modelling
• Understanding of design and development of data stores, digital solutions and data warehouses and associated toolsets.
• How to utilise ownership and stewardship models to drive through improvements
• Data and information management lifecycles
• Knowledge and use of data quality toolsets, methodologies and process
• How to undertake triage, root cause analysis and resolution

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

As well as lots of on-the-job training and endless opportunities, you’ll get

• Colleague discount across our multi-brands – Sainsbury’s, Argos and Habitat
• Holiday allowance
• Bonus scheme
• Pension plan
• Special offers on gym memberships, restaurants, holidays, retail vouchers and more

Work-life balance is important to us, so we offer our colleagues as much flexibility as possible in line with the needs of their role. We trust them to decide how, where and when they work, combining remote and collaborative working with a flexible approach to hours, giving them plenty of time and space for life outside of work whilst delivering against our business goals.