
Senior Data Analyst - Space & Range
- London
- Permanent
- Full-time
- Partner with Property, Commercial, and Space Planning teams to understand business problems and help them make better decisions through data.
- Lead the development of dashboards and tools in Metabase that track space performance, location profitability, and layout effectiveness.
- Write clean, efficient SQL to transform and analyse large datasets across sales, store attributes, formats, and product hierarchies.
- Translate business needs into clear analytical questions and deliver insights that guide senior stakeholder decisions.
- Take ownership of delivery-scoping, prioritising, and executing projects aligned to estate strategy and category impact.
- Ensure outputs are scalable, documented, and embedded into team workflows.
- Collaborate cross-functionally with BI Developers, Embedded Analysts, and Commercial teams to deliver end-to-end data products.
- Mentor mid-level analysts and contribute to capability-building across the Core Business Analytics team.
- Work with a modern data stack, including Redshift, BigQuery, Matillion, and Retool.
This is a hybrid role, with 2 days per week expected in either our London or Nuneaton office.The PersonCore Skills & Behaviours
- SQL expertise: Confident writing advanced queries to support spatial, location-based, or estate-level analysis.
- Commercial and spatial acumen: Understands planogram levers, store investment metrics, space efficiency, and format strategy.
- Stakeholder leadership: Experienced working with Heads of Property, Space & Range, and Commercial functions.
- Communication: Explains data clearly and credibly to non-technical audiences; adapts insight to business context.
- Delivery ownership: Independently leads high-impact projects from discovery through implementation.
- Visualisation skills: Designs clean, usable dashboards in Metabase (or experience with equivalent tools like Tableau, Looker, PowerBI).
- Team contribution: Mentors others, shares knowledge, and strengthens analytics delivery through collaboration.
- Education & Experience: You have a degree in a quantitative field such as Geography, Statistics, Engineering, or Economics, and 4-6 years of experience in analytics-preferably with exposure to property, space, or store planning.