
Senior Commercial Data Analyst
- Nuneaton, Warwickshire
- Permanent
- Full-time
- Lead analytics delivery for supplier performance, commercial contribution, and terms agreement tracking.
- Partner with Supplier Terms, Category, and Commercial stakeholders to evaluate deal outcomes and supplier impact.
- Build dashboards in Metabase to monitor supplier-level performance, agreement effectiveness, and compliance.
- Create analytics which demonstrate commercial optimisation opportunities & targets.
- Write clean, efficient SQL to analyse data across trading, rebate, promotional, and category-level metrics.
- Deliver insights that support negotiations, supplier scorecards, and performance reviews.
- Own analysis of agreement value, rebate accuracy, and deal profitability.
- Contribute to development of tools that track supplier performance over time and model commercial scenarios.
- Collaborate cross-functionally with BI Developers, Embedded Analysts, and Supplier Performance teams to deliver end-to-end data products.
- Mentor mid-level analysts and help strengthen capability across the Commercial Ops analytics team.
- Work with a modern data stack, including Redshift, BigQuery, Matillion, and Retool.
- SQL expertise: Confident writing advanced queries, transforming complex data, and optimising performance.
- Commercial acumen: Deep understanding of category and trading levers such as margin, pricing, and promotional ROI.
- Stakeholder leadership: Comfortable working with Heads of and Directors in Commercial, Trading, and Category teams.
- Communication: Explains complex findings clearly to non-technical audiences and adapts insight to the business context.
- Delivery ownership: Independently leads high-impact projects from discovery through to 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 team delivery through feedback and collaboration.
- Education & Experience: You have a degree in a quantitative field such as Mathematics, Statistics, Economics, or Engineering, and 4-6 years of experience in analytics-preferably with exposure to commercial, retail, or trading environments.
- Health Cash Plan
- Life Assurance
- Incentive Scheme
- Virtual GP
- Private Medical
- FREE at-home blood test kit
- Holiday Purchase option
- Pension Contribution
- Access to 'Wellhub' with gyms, studios and wellbeing apps
- 25% Colleague Discount with FREE Next Day Delivery
- Exclusive Discounts from a wide range of partners
- £/€50 Annual Product Allowance to spend in store
- Access to a variety of learning opportunities, including Level 2-5 Apprenticeships, Workshops and our Digital Learning Library
- AND MORE!
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