Analytics Specialist

As an Analytics Specialist at Royal Mail, you will turn data into actionable insights to improve digital measurement, customer journeys and product outcomes. You’ll work closely with product, design, engineering and marketing to support data-driven decisions and optimisation at scale. You’ll apply AI-enabled analytics tools to speed up analysis and unlock deeper insights. This role blends hands-on data work with cross-functional collaboration to shape digital product decisions.

• Family friendly support - enhanced maternity pay, paternity leave, adoption leave and shared parental leave
• Supportive and generous company sick pay
• Employer funded dental insurance
• Employer funded health assessment every 2 years
• Benefits account on My Bundle+ with 800+ offers
• Wellbeing resources and 24/7 support

• Improve digital measurement across web and app experiences, ensuring accurate tracking and scalable data collection
• Maintain and enhance data layers and tag management with tagging and engineering teams
• Analyze customer journeys, funnels and conversion performance to identify friction points and optimisation opportunities
• Support CRO initiatives through insight generation and experiment analysis
• Translate data into clear, actionable recommendations for product, design, growth and marketing
• Build and maintain dashboards and performance reports for key metrics
• Support experimentation and discovery activities including A/B testing and behavioural insights
• Leverage AI-powered analytics tools to enhance reporting, segmentation and insight generation
• Collaborate with product managers, designers, engineers and delivery teams to embed analytics into decision making
• Work with analytics platforms and partners to maximise tool value (GA4, Adobe Analytics, BI)

• Hands-on experience in a digital analytics role
• Knowledge of analytics and tagging platforms including GA4, Adobe Analytics, Google Tag Manager and BI solutions
• Experience analysing customer journeys, funnels and digital performance metrics
• Excellent ability to communicate insights to technical and non-technical stakeholders
• Advanced SQL skills with large, event-based datasets
• Experience using Python for data analysis, transformation or automation
• Interest in AI-enabled analytics and modern analytical tools
• Experience in agile cross-functional product teams
• Strong attention to detail and a continuous improvement mindset
• Proactive, collaborative approach to using data to solve business problems

• proactive
• collaborative
• strong communication
• GA4
• Adobe Analytics
• Google Tag Manager