Lead Product Analyst

Moonpig as a Lead Product Analyst, where you'll uncover insights that drive smarter product decisions and shape how millions of customers interact with our platform. In this senior individual contributor role, you'll partner closely with Product, Data, and Engineering teams to understand customer behavior, identify opportunities for improvement, and measure the impact of changes. You'll play a key role in building confidence in our product metrics, improving experimentation practices, and enabling evidence-based decision-making.

Responsibilities

• Enjoy a range of benefits, including an attractive annual bonus scheme, private medical insurance, and flexible working opportunities.
• Conduire des analyses approfondies sur le comportement des clients pour identifier les opportunités d'amélioration du parcours client.
• Collaborer étroitement avec les équipes Produit, Données et Ingénierie pour mesurer l'impact des changements apportés aux produits.
• Établir des cadres analytiques et des ressources qui aident les équipes à mesurer les produits de manière cohérente.

Requirements

• Are you passionate about turning customer behaviour into better digital experiences?
• Experience exploring customer behaviour through funnel, journey, cohort, segmentation or retention analysis
• Significant experience in Product Analytics, Customer Analytics or a similar role within a digital product or e-commerce environment
• Comfortable working through ambiguity while remaining focused on customer behaviour and product outcomes
• Experience creating analytical frameworks, documentation or resources that help teams measure products consistently
• Excellent communication skills with the ability to explain complex analysis in a clear and practical way
• Strong collaboration skills and experience partnering with Product and cross-functional teams
• Strong hands-on SQL skills with the ability to investigate data, challenge assumptions and communicate findings clearly
• Proven ability to define, maintain and govern product metrics to improve the quality and consistency of measurement
• Experience supporting experimentation through structured testing, robust measurement and thoughtful interpretation of results
• Working knowledge of Python
• Experience with product analytics platforms such as Mixpanel, Amplitude or similar

Preferred

Familiarity with Snowflake, Tableau or comparable data platforms

• Experience using causal inference techniques such as regression, matching, difference-in-differences or uplift modelling
• Experience evaluating recommendation, personalisation or AI-enabled product features
• Experience sharing analytical knowledge through coaching, documentation or communities of practice