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Senior Manager, Product Analytics, Experimentation

πŸ•’ May 8

🏒🏑 London – Hybrid

⏰ Full Time

🟠 Senior

πŸ“Š Data Scientist

πŸ‡¬πŸ‡§ UK Skilled Worker Visa Sponsor

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Logo of Moonpig

Moonpig

WebsiteLinkedIn

201 - 500 employees

Founded 2000

πŸ›οΈ eCommerce

πŸ‘₯ B2C

eCommerce β€’ B2C

Moonpig is a company that specializes in sending personalized greeting cards, gifts, and flowers to recipients in various countries including the United Kingdom, United States & Canada, Australia & New Zealand, and Ireland. They focus on providing a customized customer experience on their online platform, employing cookies to enhance browsing, analyze usage, and deliver personalized content.

πŸ“‹ Description

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

🎯 Requirements

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

πŸ–οΈ Benefits

β€’ Competitive Pay & Bonuses: Plus, generous pension plans & staff discounts. β€’ Wellbeing First: Private healthcare (UK), mental health support & dog-friendly offices (London & NL). β€’ Flexible Working & Time Off: Generous holidays, hybrid working (1-3 days in office, depending on role/team) & up to 20 days of international working. β€’ Career Growth: Learning allowances, coaching & development programs.

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