Systems Data Analyst - Data Modeling, SQL & Python (Hybrid)

Dunelm; Leicester; Hybrid; GBP 42,000 - 64,000; Full time

Benefits offered by this job

Hybrid work model

Office in Leicester and London

Job summary

Dunelm in Leicester is seeking a Systems Data Analyst to bridge source systems and data engineering, ensuring accurate, well-defined data for delivery. The role is on-site with hybrid flexibility, supporting complex data platforms and collaboration with product and engineering teams.

You will translate business questions into precise data requirements, develop data models, and ensure readiness for build. The team emphasises clear communication and rigorous documentation.

Qualifications

• Strong analytical and system analysis skills.
• Experience producing conceptual, logical and physical data models.
• Strong SQL skills for data validation.
• Exposure to Python and data tooling.
• Experience with enterprise data platforms.
• Clear written and verbal communication.
• Ability to produce structured, reusable documentation.
• Inquisitive mindset and collaborative working style.

Responsibilities

• Understand the data lifecycle and origination processes; map as-is to to-be flows.
• Analyse source systems and integrations to understand data structures and relationships.
• Conduct 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 data scope for delivery.
• Translate business needs into clear, system-level data requirements.
• Ensure data requirements meet Definition of Ready standards.
• Produce data models and maintain source-to-target mappings.

Skills

Data analysis

Data modeling

SQL

Python

Enterprise data platforms

Communication

Documentation

Curious mindset

Collaboration

Job description

Dunelm in Leicester is seeking a Systems Data Analyst to bridge source systems and data engineering, ensuring accurate, well-defined data for delivery. The role is on-site with hybrid flexibility, supporting complex data platforms and collaboration with product and engineering teams.

You will translate business questions into precise data requirements, develop data models, and ensure readiness for build. The team emphasises clear communication and rigorous documentation.