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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
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).
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
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Contract
Job function
* Job function
Analyst
* Industries
Climate Data and Analytics
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