Naked Wines

Wine

SeniorAnalyticsImplementationEngineer

£60–75k London, United Kingdom; Norwich, United Kingdom FULL TIME Remote Friendly
The Brief

“Senior Analytics Implementation Engineer at Naked Wines. Skills: GA4, GTM, Data Layer, SQL. Own web analytics tracking stack. Act as technical authority for tag firing”

Industry & Context.

Wine
Problems you'll solve

Rigorous approach to data quality; Root-cause tracking gaps; Lead investigations into cross-tool discrepancies

What They're Looking For.

Must Have

Proven experience in a technical digital analytics or implementation engineering role, Deep, hands-on mastery of GA4, Deep, hands-on mastery of GTM (both client-side and server-side), Understanding of dataLayer design, Understanding of event-driven tracking patterns, Translating complex business requirements into clean event schemas, Hands-on experience implementing analytics within a Shopify Plus environment, Navigating Shopify Plus dataLayer, Navigating Shopify Plus theme architecture, Navigating Shopify Plus checkout tracking constraints, Competency with BigQuery, Writing SQL to validate, transform, and reconcile raw event-level data from the GA4 BigQuery export schema, Elite debugging skills using GA Debugger, Elite debugging skills using Tag Assistant, Elite debugging skills using Chrome DevTools, Exceptional stakeholder management skills, Ability to explain technical tracking, privacy, and attribution concepts simply to commercial and marketing teams

Nice to Have

Familiarity with HTML/CSS, Familiarity with front-end development practices, Exposure to Looker, Exposure to advanced data visualisation tools

What You'll Do.

Own web analytics tracking stack

Act as technical authority for tag firing

Act as technical authority for event delivery

Act as technical authority for dataLayer contract

Maintain and optimise server-side conversion APIs

Drive high Event Match Quality (EMQ) scores

Harden identifier coverage

and implement structured dataLayer schemas

Author precise technical specifications

Partner with Data Engineering on GA4 BigQuery export pipeline

Preserve event-level fidelity for unified reporting

Define data standards

Build automated validation frameworks

Build anomaly alerting

Lead investigations into cross-tool discrepancies

Drive adoption of web analytics platform

Run role-specific training

Build self-serve documentation

Empower teams to become confident operators

Support analytics engineering function across full stack

How You'll Work.

Team & Collaboration

Partner with Data Engineering; Collaborative Communication; Explain technical concepts to commercial and marketing teams

Communication Scope

Communication skills needed to embed analytics into decision-making; Collaborative Communication; Explain technical tracking, privacy, and attribution concepts simply

Free ATS check

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