Tag Manager Analytics Engineer — Data-Driven Insights

Royal Mail; Greater London; On-site; GBP 50,000 - 70,000; Full time

Benefits offered by this job

Family-friendly benefits

Dental insurance

Health assessment

Job summary

Royal Mail is seeking an Analytics Engineer - Tag Manager to build and maintain the analytics data foundations that support digital products, customer journeys, experimentation and AI-enabled insights.

The role is highly technical and hands‑on, working with Product, Analytics and Engineering teams to ensure high-quality, reliable data for analysis, optimisation and decision‑making. 3 days in the office at Farringdon.

Qualifications

• Experience in Analytics Engineering, Data Engineering or Digital Analytics.
• Hands-on experience with tag management platforms (Tealium, GTM, Adobe Launch).
• Strong understanding of analytics implementations, tagging and data layer design.

Responsibilities

• Own the implementation and optimisation of Tag Management solutions across web and app platforms.
• Develop and govern data layer specifications, SDRs and tracking documentation.
• Integrate and model data from multiple sources to create robust analytics datasets.
• Support customer journey analysis, experimentation and conversion optimisation.
• Ensure analytics data quality through testing, validation and monitoring.
• Leverage AI-enabled tools to improve analytics engineering processes.
• Partner with stakeholders to translate requirements into data solutions.

Skills

Analytics Engineering

Data Engineering

Digital Analytics

Tag Management

JavaScript

HTML

CSS

Tealium IQ

Google Tag Manager (GTM)

Adobe Launch

Data Layer Design

React

Tools

Tealium IQ

Google Tag Manager

Adobe Launch

Job description

Royal Mail is seeking an Analytics Engineer - Tag Manager to build and maintain the analytics data foundations that support digital products, customer journeys, experimentation and AI-enabled insights.

The role is highly technical and hands‑on, working with Product, Analytics and Engineering teams to ensure high-quality, reliable data for analysis, optimisation and decision‑making. 3 days in the office at Farringdon.