Job Description
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