Systems Data Analyst

Overview

Home. There's no place like it.

And there's no feeling like helping people create the joy of feeling truly  Dunelm, that's what we do. We're the UK's number one choice for homewares because we make home life lovelier for our customers. And we've crafted a workplace that feels just as welcoming, where you can bring your ideas, be yourself, and feel right at home.

We're a hybrid business, which means you'll have flexibility alongside time together with your team. In this role, you can expect 2 days per week in our Leicester or London office, helping you stay connected, collaborate and do your best work for our customers.

The Systems Data Analyst plays a critical role in ensuring that data from Dunelm’s core systems is accurately understood, clearly defined and ready for engineering delivery. The role acts as the bridge between source systems and data engineering teams, providing detailed system and data analysis that underpins high-quality data products.

Working closely with Data Product Managers, Data Management, Data Engineers and business stakeholders, the Systems Data Analyst translates business questions into precise, system-level data requirements. This includes analysing source systems, defining data structures, producing data models and mappings, and ensuring requirements are development-ready before build begins.

• Understand the data lifecycle and originating business process flows architecting as-is and to be flows where required
• Analyse source systems and integrations to understand data structures, relationships and behaviours
• Perform end-to-end data flow analysis into the enterprise data platform
• Identify data quality issues, ambiguities and risks in source data
• Requirements refinement and definition
• Utilise requirements definition to inform scope and required data management activities.
• Translate business needs into clear, system-level data requirements
• Ensure data requirements meet Definition of Ready standards
• Data modelling and documentation
• Structured and logical explanations of process flows, intersection with business process and system/data outputs & outcomes in appropriate mediums (presentations, PRD's etc)
• Produce conceptual, logical and physical data models
• Define and maintain source-to-target data mappings

• Strong analytical and system analysis skills
• Experience producing data models and data requirements, including conceptual, logical and physical
• Strong SQL skills for data validation
• Exposure to Python
• Experience with enterprise data platforms
• Clear written and verbal communication
• Ability to produce structured, reusable documentation
• An inquisitive and curious mindset
• Collaborative and T-shaped; willing to contribute where required to get the job done

• Exposure to ETL / ELT pipelines
• Retail systems experience (ERP, POS, Supply Chain, Digital)
• Experience working in Agile delivery environments
• Interest in responsible AI and model governance

• Making it happen – proactively identify risks and validate assumptions
• Acting like an owner – taking responsibility for the reliability and quality of the services you support
• Keep listening and learning – curious, open to feedback and committed to continuous improvement
• Stronger together – collaborative and inclusive when working across disciplines