Systems Data Analyst

Dunelm; Greater London; Hybrid; GBP 55,000 - 75,000; Full time

Job summary

Dunelm is hiring a Systems Data Analyst to join a hybrid team working from Leicester or London. You will design conceptual, logical and physical data models, analyse data flows, and collaborate with Data Product Managers and Data Engineers to support enterprise-grade data products.

You will translate business needs into data requirements, produce clear documentation, and ensure data integrity across the data lifecycle in a cross-functional environment.

Qualifications

• Experience producing data models across conceptual, logical and physical levels.
• Strong analytical and system analysis skills.
• Clear written and verbal communication.

Responsibilities

• Understand data lifecycles and business processes; map as-is and to-be flows.
• Analyse source systems and data structures; identify 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.
• Refine requirements and define scope for data management activities.
• Translate business needs into system-level data requirements.

Skills

Analytical skills

Data modelling

Python experience

Enterprise data platforms

Communication skills

Documentation

Curiosity mindset

Collaboration

Job description

This hybrid role can be based out of Leicester or London office.

Home. There's no place like it.

And there's no feeling like helping people create the joy of feeling truly at home. At 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.

Work your way, together

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 will be responsible for producing conceptual and logical data models, forming functional and non-functional requirements, understanding and visualising E2E business process and data flows and ensuring that artefacts produced support engineered delivery. Your analysis will cover use cases and systems across the organisation and will be used to inform and support the build of enterprise grade data products. You will work alongside a cross functional team of Data Product Managers, Data Management, Data Engineers and business stakeholders.

What you'll be doing

• 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

What we’ll look for in you

Essential skills and experience:

• Strong analytical and system analysis skills
• Experience producing data models and data requirements, including conceptual, logical and physical
• 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

Nice to haves:

• 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

Key qualities, behaviours and values

• 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