Senior Data Insight Analyst 📍 Wallingford, Oxfordshire (3 days/week in office) | 💻 Hybrid Working Flexibility 💷 Up to £60,000 | Permanent & Contract options available Ready to turn data into your playground? 🎢 If you love digging into huge datasets and crafting clever insights that drive real business growth, this could be your next big move! We're a global online retail company specialising in books, media, and tech - shipping thousands of orders daily through marketplaces like Amazon and eBay, plus our own growing brands. What's in it for you? • Work from our Wallingford HQ just 3 days a week - and enjoy flexible hours to help with school runs, avoiding rush hour, or just finding your perfect work rhythm ⏰👨‍👩‍👧‍👦🚗 • Competitive salary up to £60,000 with both permanent and contract roles on offer • Be part of a supportive team where your data-driven ideas get noticed and implemented fast 🚀 • A career path that could take you all the way to executive level as the business grows 🌟 Your day-to-day: • Create smart pricing strategies across millions of SKUs to optimise revenue and margins 📊💡 • Collaborate with marketing to set up dashboards and track performance on Google Analytics, Meta Ads, and more 📈 • Analyse customer journeys, loyalty programmes, and conversion funnels to boost repeat purchases and lifetime value 🔍💙 • Lead A/B testing and multivariate experiments to improve user experience and sales conversions 🧪✅ • Own the valuation engine for our re-commerce brand and evolve competitor insight tools to keep us ahead of the game 🎯 You are: • Experienced with large data sets and skilled in SQL, Power BI, and advanced Excel (macros & VBA) 🔢 • Comfortable working with e-commerce data from platforms like Google Analytics and Ads, Meta, Bing, etc. • A confident problem solver with a numerate degree (Maths, Stats, or similar) and 5+ years' experience 🎓📚 • Independent, proactive, and able to present insights clearly to senior teams • A great team player who thrives in a collaborative environment 🤝 🚨 IMPORTANT: Candidates must clearly mention the following in their CV or they will not be considered: • Previous analytical experience, especially in pricing or revenue optimisation roles. Backgrounds in comparison shopping portals, price comparison sites, airlines, car rental, or DTC e-commerce brands are a big plus. • Proven experience working with very large data sets, from ingestion through to analysis. • Familiarity with e-commerce analytics platforms such as Google Analytics, Google Ads, Meta Ads, Bing Ads, etc. • Experience owning projects that lead to real, measurable business changes, with continuous testing and optimisation cycles. • A degree from a good university with at least a 2:1 in Maths, Statistics, or a numerate discipline, alongside strong A Levels. • Minimum of 5 years' relevant work experience. • Advanced numeracy skills (will be tested). • Expert SQL skills. • Essential experience with Power BI. • Advanced Excel skills including macros and VBA. • Python experience is an advantage. • Ability to work independently, managing high-level briefs and liaising across departments. • Team player with strong stakeholder management skills. • Ability to deliver quality work within tight deadlines. If this sounds like your kind of challenge - where your data skills will make a real difference - let's chat! 👋 We Are Aspire Ltd are a Disability Confident Commited employer