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Moonpig

Posted 1 month ago

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Senior Manager, Product Analytics & Experimentation

LondonOn-siteFull-time

AI Summary

Senior Manager leads Product Analytics & Experimentation, shaping data-driven product decisions for the Cards business. Builds scalable analytics capabilities, mentors analysts, and partners with Product, Data Science, and Engineering to drive commercially grounded insights.

About this role

We’re the Moonpig Group – home to Moonpig, Greetz, Red Letter Days and Buyagift – and we’re on a mission to make people feel loved, celebrated and remembered. Whether it’s a card that gets them laughing out loud or a gift that makes their day, we help people stay close, no matter the miles.

We’re proud to be leading the online gifting revolution, with brilliant products, clever tech and a whole lot of heart. Our platform makes it easy to create moments that matter – packed with personal touches and delivered with care.

We’re not just about selling cards or gifts – we’re here to spread joy, spark smiles and make every celebration feel extra special. And with values that guide how we work and support one another, we’ve built a place where people (and ideas) can truly thrive.

If you’re looking to make an impact, bring your spark and be part of something meaningful – we’d love to have you on the team. 🌙🐷


Join us at Moonpig as a Senior Manager, Product Analytics & Experimentation, where you’ll define and scale how data shapes product decisions across our Cards business. This role sits within the Data team while being deeply embedded in Product - partnering closely with senior Product leaders to turn behavioural insight and experimentation into clear, commercially grounded decisions.

You’ll lead a high-performing analytics team while shaping the future of how we use data - moving from embedded analytics to scalable, self-serve approaches. This is a role with real influence, where your work will directly impact product strategy, customer experience, and business performance.

Key Responsibilities:

  • Define and scale the Product Analytics function, setting direction for experimentation, behavioural analysis and impact measurement across product teams
  • Establish and embed best practices for experiment design, analysis and interpretation to enable consistent, high-quality decision-making
  • Build and run experimentation operations, including clinics, forums and training to improve quality and adoption across teams
  • Own and evolve the product metrics framework, including north star, input and guardrail metrics
  • Contribute to product attribution approaches, partnering with Product and Finance to align expected and realised impact
  • Define measurement approaches for AI and algorithmic features in collaboration with Data Science, MLOps and Engineering
  • Shape product and commercial strategy through opportunity identification, impact sizing and evidence-based recommendations
  • Lead high-impact and complex analysis, ensuring outputs are decision-ready and commercially grounded
  • Synthesise behavioural insight, experimentation results and commercial context to inform strategic direction
  • Build scalable analytics capability through frameworks, tooling and self-serve approaches
  • Line manage and develop a team of analysts, building technical depth and stakeholder influence
  • Drive cross-functional alignment across Product Analytics, Data Science and Engineering

    • About you:

    • Proven experience leading and developing Product Analytics teams, with a track record of scaling impact and capability
    • Strong background in product or commercial analytics within a digital or e-commerce environment
    • Deep experience designing, running and interpreting experiments with sound statistical judgement
    • Advanced analytical skills, including strong SQL and working knowledge of Python or similar
    • Ability to translate complex analysis into clear, commercially grounded recommendations
    • Confident communicator with experience influencing senior stakeholders across Product and cross-functional teams
    • Experience building scalable analytics practices, including frameworks, templates and self-serve tooling
    • Comfortable working with ambiguity and leading high-impact, business-critical investigations

    Skills

    A/b TestingCross-Functional CollaborationData DashboardsData-driven Decision MakingData StorytellingExperimentation DesignExperiment TrackingMetrics FrameworkMLOps CollaborationNorth Star MetricsProduct AnalyticsProduct AttributionPythonSelf-serve Analytics ToolingSQLStakeholder ManagementStatistics

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