Trading Analyst - New Categories

• Work closely with Trading Managers and Commercial Squads to understand business requirements for online trading and performance marketing, to provide regular analysis of the drivers of digital trading performance
• Use a wide range of data sources including web analytics, digital trading metrics, customer behaviour data, competitor/market intelligence, and supply insights to provide a holistic view of category performance
• Build and maintain advanced Power BI dashboards that surface real time KPIs, highlight opportunities, and enable quicker, informed trading decisions
• Use modern analytical techniques (e.g., behavioural segmentation, funnel diagnostics, forecasting, attribution insights) to uncover performance drivers and emerging demand trends
• Proactively identify issues and opportunities across traffic, conversion, product availability, pricing, and customer journeys for new categories
• Translate data into clear, commercially focused recommendations that inform trading squads, commercial teams, and marketing planning
• Collaborate with Category, Digital Product, UX, and Marketing teams to ensure insights lead to tangible improvements in on site experience, merchandising, search, content, and demand generation
• Support day to day online trading by providing rapid insight during key events, new launches, and category expansion initiatives
• Contribute to the development of new analytical frameworks, tools, and best practices to continually improve the way we measure and optimise category performance

• Advanced numerical and analytical capability, with the ability to integrate multiple data sources, and deliver clear, actionable commercial insights
• Advanced proficiency in digital analytics platforms, including Adobe Analytics, GA4, and ContentSquare
• Strong Power BI skills, including data modelling, DAX, and building compelling, insight‑led visualisations that effectively support trading decisions
• Ability to translate stakeholder needs into structured analysis and insight, understanding commercial motivations and shaping outputs that drive meaningful action
• Strong ability to communicate insights in a clear, concise and powerful manner both verbally and in writing, targeted to varying levels of leadership
• Excellent SQL skills, particularly with Google BigQuery and Azure Synapse
• 2-4 years’ experience of eCommerce / Digital Analytics, preferably gained with an online retailer
• A degree in any analytical, business, marketing, or related discipline OR equivalent experience gained through eCommerce, digital marketing, retail or analytics roles
• Industry certifications in GA4, Adobe Analytics, Power BI or ContentSquare are beneficial but not essential (training can be provided)
• Demonstrated ability to work with data, either through academic projects, online learning, or relevant job experience

Industry certifications in GA4, Adobe Analytics, Power BI or ContentSquare are beneficial but not essential

• New opportunities
• on-going training and skills for life