Web Analyst London - hybrid working (3 days in office) Up to £46,000 + bonus
This is a key analyst hire for a growing digital and e‑commerce team, offering real influence at the point where commercial decision‑making meets modern data and analytics. You will play a central role in helping the business move beyond static reporting towards insights that genuinely shape digital trading performance.
The Company
They are a well‑established, premium omnichannel retailer with a strong digital presence and an increasing focus on using data to guide commercial strategy. The organisation blends online and physical retail, with a customer‑centric mindset and a clear commitment to sustainable, long‑term growth. Data is becoming a core enabler across e‑commerce, marketing and onsite trading teams.
The Role
You will sit between e‑commerce stakeholders and the data engineering function, translating digital trading questions into meaningful analysis and clear data requirements.
* Analyse e‑commerce performance across the full digital funnel, from traffic through to conversion
* Build and maintain Power BI dashboards used by commercial and trading stakeholders
* Deliver ad‑hoc analysis to explain changes in traffic, conversion and revenue
* Generate actionable insights to support onsite trading, merchandising and marketing decisions
* Investigate GA4 tracking to identify gaps in events, parameters and definitions
* Translate business questions into clear briefs for data engineers
* Support data quality checks and ongoing improvement of digital data foundations
Your Skills and Experience
* Strong commercial experience in e‑commerce or digital retail analytics
* Confidence working with GA4, including the event and parameter model
* Strong Power BI capability, including DAX and semantic modelling
* Solid understanding of e‑commerce trading metrics and funnel performance
* Ability to communicate insights clearly to non‑technical stakeholders
* Comfortable working with data engineers to define data requirements
* Nice to have: GTM or data layer exposure, BigQuery or GA4 exports, Python, or paid media analytics (not essential)
What They Offer
* High visibility role with direct access to senior e‑commerce stakeholders
* Opportunity to grow alongside a developing data function and broaden commercial impact
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