Are you passionate about turning customer behaviour into better digital experiences? As our Lead Product Analyst, you'll help shape how millions of customers interact with Moonpig by uncovering insights that drive smarter product decisions.
This is a senior individual contributor role where you'll partner closely with Product, Data and Engineering teams to understand customer behaviour, identify opportunities to improve the customer journey, and help teams measure the impact of the changes they make.
You'll play a key role in building confidence in our product metrics, improving experimentation practices, and enabling teams to make evidence-based decisions. If you enjoy solving complex problems, translating data into clear recommendations and helping others learn from customer behaviour, we'd love to hear from you.
Key Responsibilities:
- Partner with Product teams to understand customer journeys, product questions and opportunities to improve the customer experience.
- Conduct exploratory behavioural analysis using techniques including funnel, journey, cohort, segmentation and retention analysis.
- Translate analytical findings into clear, practical recommendations that help teams prioritise what to improve next.
- Define, maintain and govern product and behavioural metrics to ensure consistent, reliable measurement across teams.
- Validate product tracking and data quality, working closely with Data and Engineering colleagues to resolve issues.
- Provide guidance on experimentation best practice, including hypotheses, success metrics, test validity and interpretation of results.
- Develop repeatable frameworks, documentation and resources that enable consistent measurement and learning across Product teams.
- Build confidence across teams in using behavioural data to inform product decisions.
- Collaborate with cross-functional partners to champion strong analytical thinking and customer-focused decision making.
About You:
- Significant experience in Product Analytics, Customer Analytics or a similar role within a digital product or e-commerce environment.
- Strong hands-on SQL skills with the ability to investigate data, challenge assumptions and communicate findings clearly.
- Experience exploring customer behaviour through funnel, journey, cohort, segmentation or retention analysis.
- 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.
- 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.
- Experience creating analytical frameworks, documentation or resources that help teams measure products consistently.
- Comfortable working through ambiguity while remaining focused on customer behaviour and product outcomes.
Nice to Have:
- Working knowledge of Python.
- Experience with product analytics platforms such as Mixpanel, Amplitude or similar.
- 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.
Skills Required
- Significant experience in Product Analytics, Customer Analytics, or a similar role within a digital product or e-commerce environment
- Strong hands-on SQL skills
- Experience with funnel, journey, cohort, segmentation, or retention analysis
- Experience defining, maintaining, and governing product metrics
- Experience supporting experimentation through structured testing, robust measurement, and interpretation of results
- Excellent communication skills for explaining complex analysis clearly and practically
- Strong collaboration skills and experience partnering with Product and cross-functional teams
- Experience creating analytical frameworks, documentation, or resources for consistent product measurement
- Ability to work through ambiguity while focusing on customer behavior and product outcomes
- Working knowledge of Python
- Experience with product analytics platforms such as Mixpanel or Amplitude
- Familiarity with Snowflake, Tableau, or comparable data platforms
- Experience with causal inference techniques such as regression, matching, difference-in-differences, or uplift modeling
- Experience evaluating recommendation, personalization, or AI-enabled product features
- Experience sharing analytical knowledge through coaching, documentation, or communities of practice
What We Do
At Moonpig Group our mission is to help people connect and create moments that matter. We’re an international group made up of two brilliant brands – Moonpig in the UK, US and Australia, and Greetz in the Netherlands. We’re a technology platform at heart, but our customers know us as the leading eCommerce destination for greetings cards, gifts and flowers. Last year we delivered over 70 million personalised cards, gifts and flower bouquets in over 50 million orders, helping our customers celebrate all the occasions that matter to them, from milestone birthdays and anniversaries to new arrivals and all of those just-becauses. We have awesome people and a caring company culture: We give teams autonomy while supporting personal growth at all levels. Plus, we know how to have fun! Don’t just take our word for it, though; in Feb 2022, Moonpig was officially recognised as an outstanding company to work for by Best Companies and we earned a 2-Star accreditation, which is Best Companies second-highest standard of workplace engagement and represents organizations striving for the top. Head over to our careers site for more company info and our current opportunities - https://www.moonpig.com/uk/blog/moonpig-careers/moonpig-careers/
