Analytics Engineer - Tag Manager

In this role you will build and maintain the analytics data foundations that support digital products, customer journeys, experimentation and AI-enabled insights. You will work closely with Product, Analytics and Engineering to ensure high-quality, reliable data for analysis and decision-making, enabling data-driven improvements across digital experiences. You’ll own tag management implementations and underpin data layer design to support scalable analytics. This position offers hands-on coding, data engineering and collaboration to drive measurable digital insights at scale. The opportunity combines technical depth with business impact in a transforming, data-driven organization.

• Family friendly support - enhanced maternity pay, paternity leave, adoption leave and shared parental leave
• Sick pay
• Dental insurance
• Health assessment every 2 years
• Benefits account on My Bundle+
• Wellbeing support 24/7 access

• 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 and techniques to improve analytics engineering processes
• Partner with technical and business stakeholders, translating requirements into effective data solutions

• Strong experience in Analytics Engineering, Data Engineering or Digital Analytics
• Hands-on expertise with Google Tag Manager (GTM), Adobe Launch or similar tag management platforms
• Strong understanding of digital analytics implementations, tagging and data layer design
• Technical coding skills in: JavaScript HTML CSS
• Exposure to React and/or React Native environments
• Experience integrating data from multiple sources and working within modern analytics ecosystems
• Ability to translate business requirements into technical specifications and explain technical concepts to non-technical stakeholders
• Strong attention to detail with a focus on building scalable, reliable solutions

• attention to detail
• strong communication
• collaboration
• Google Tag Manager (GTM)
• Adobe Launch
• data layer design