About the Role
Join Moonpig Group as a Data Analyst (Product Analytics) and help shape better product decisions through data. Working closely with Product, Design, and Engineering, you’ll explore customer behaviour, support experimentation, and uncover the “why” behind performance.
How will you do this? You’ll explore how customers interact with our platform and help teams design experiments to test the impact of the changes we make on customer behaviour.
This is a great opportunity to combine analytical thinking with real product impact—translating data into clear, actionable recommendations that improve how our products perform and how customers experience them. You’ll also continue to grow your technical toolkit, developing skills in Python, modelling, and causal inference over time.
Key responsibilities
• Contribute to experimentation by helping design, run, and analyse A/B tests, ensuring results are robust and clearly communicated
• Explore and explain drivers of customer behaviour, including conversion and retention, using appropriate analytical techniques
• Support evaluation of AI, recommendation, and personalisation features alongside Data Science and Engineering teams
• Apply analytical and statistical methods using SQL and, where appropriate, Python to explore data and test hypotheses
• Contribute to scalable analytics practices by improving documentation, queries, and reusable analysis
• Conduct behavioural analysis (funnels, cohorts, retention, LTV) to support product insights and recommendations
• Apply causal thinking (with guidance), using experimental and quasi-experimental approaches where appropriate
• Use modern analytical workflows, including AI tools, to improve productivity while maintaining critical thinking
About you
• Familiarity with ecommerce or tools such as Google Analytics is a must have
• Strong SQL skills, including joins, aggregations, and window functions
• Practical experience using Python for analysis (e.g. pandas, notebooks) – nice to have
• Exposure to experimentation, including supporting or running A/B tests
• Ability to structure problems and draw meaningful insights from data
• Clear communication skills, with the ability to explain findings and support recommendations
• Comfortable collaborating with product, design, and engineering stakeholders
• Exposure to personalisation, recommendations, or dynamic pricing is a bonus
• Experience with tools such as Tableau, Mixpanel, Git, Snowflake, or BigQuery is advantageous
• Awareness of causal inference or statistical methods is helpful but not essential
• 1st stage interview – 45 minutes
• 2nd stage interview – 90 minutes (technical/task assessment)
• 3rd stage final interview – 30 minutes (cultural/behavioural assessment)
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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/
