Systems Data Analyst

Dunelm; United Kingdom; Hybrid; GBP 45,000 - 65,000; Full time

Job summary

Dunelm is seeking a Systems Data Analyst to bridge source systems and data engineering, translating business questions into precise data requirements. You will model data concepts, validate data with SQL, and collaborate with Data Product Managers, Data Management, and engineers to deliver high-quality data products.

In this hybrid role, you will refine requirements, document data structures, and ensure readiness for implementation while contributing to data governance and scalable analytics

Qualifications

• Strong analytical and system analysis skills.
• Experience producing data models (conceptual, logical, 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.

Responsibilities

• Understand the data lifecycle and origin business processes; map as-is and to-be flows.
• Analyse source systems and integrations to understand datasets and behaviours.
• Perform end-to-end data flow analysis into the data platform.
• Identify data quality issues, ambiguities, and risks in source data.
• Refine and define requirements; ensure readiness standards.
• Translate business needs into system-level data requirements.
• Define and maintain source-to-target data mappings.
• Produce data models (conceptual/logical/physical) and documentation.

Skills

Data modeling

SQL for data validation

System analysis

Python exposure

Enterprise data platforms

Written & verbal communication

Documentation

Curious & collaborative mindset

Tools

ETL/ELT pipelines

ERP/CRM/SCM systems knowledge

Job description

Overview

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 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.

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 andrequired 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
• 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

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