Tag Manager Analytics Engineer | Data-Driven Insights

Royal Mail; Greater London; Hybrid; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Car allowance

Healthcare

Annual bonus

25 days leave + bank holidays

Company pension

Dental insurance

Health assessment

Benefits platform

Job summary

Royal Mail is seeking an Analytics Engineer - Tag Manager to build and maintain analytics foundations for digital products, customer journeys, experimentation and AI-enabled insights. The role collaborates with Product, Analytics and Engineering teams to ensure high-quality data for analysis and decision-making.

This hands-on role requires strong technical skills in tag management platforms and data integration, with a focus on scalable, reliable analytics solutions in a hybrid London setting.

Qualifications

• Experience in analytics engineering, data engineering or digital analytics.
• Hands-on with Tealium IQ, GTM, Adobe Launch or similar tag management platforms.
• Strong understanding of digital analytics implementations, tagging and data layer design.
• Coding skills in HTML and CSS; exposure to React/React Native.

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 initiatives.
• Ensure analytics data quality through testing, validation and monitoring.
• Leverage AI-enabled tools to improve analytics engineering processes.
• Partner with stakeholders, translating requirements into data solutions.

Skills

Analytics engineering

Data engineering

Digital analytics

Tag management

React/React Native

HTML

CSS

Tools

Tealium IQ

Google Tag Manager

Adobe Launch

Job description

Royal Mail is seeking an Analytics Engineer - Tag Manager to build and maintain analytics foundations for digital products, customer journeys, experimentation and AI-enabled insights. The role collaborates with Product, Analytics and Engineering teams to ensure high-quality data for analysis and decision-making.

This hands-on role requires strong technical skills in tag management platforms and data integration, with a focus on scalable, reliable analytics solutions in a hybrid London setting.