Data Analyst (Product Analytics) in London

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.

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. 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

• Support product decision-making by analysing performance, identifying patterns in user behaviour, and contributing to data-informed recommendations.
• 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

• Experience in product analytics, data analysis, or a similar role (typically 2–4 years).
• 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.

Interview Process

• Recruiter screening call.
• 1st stage interview – 45 minutes.
• 2nd stage interview – 90 minutes (technical/task assessment).
• 3rd stage final interview – 30 minutes (cultural/behavioural assessment).

What's in it for you?

We believe in empowering our team to do their best work. Enjoy:

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

Our Ways of Working:

We trust our colleagues to do what’s right and offer flexibility to support a balance between work and life. At the same time, face-to-face office time is an important and expected part of working at Moonpig Group. We believe regular in-person working supports collaboration, alignment, and effective decision-making. Candidates will have regular and ongoing time working from the office as part of their role, which will be discussed during the recruitment process.

Moonpig Group's Commitment to Equality, Diversity, and Inclusivity:

At Moonpig Group, we’re all about creating a workplace where everyone feels they truly belong. We celebrate what makes each of us unique, whether that’s our background, how we work best, or what matters most to us. From working parents who need flexible hours to neurodiverse colleagues with specific working styles, we’re here to support our people in ways that work for them. Because when you feel valued and included, you can thrive, and so can we.

We’re proud to have a number of employee-led groups driving this forward, including our LGBTQ+, Gender Balance, Neurodiversity and EMBRACE (Educating Myself for Better Racial Awareness and Cultural Enrichment) communities, plus our Group-wide EDI committee. These teams help make sure every voice is heard and every idea has a place. We know that diversity fuels creativity, innovation and connection, and that’s why we’ll keep pushing for progress. Together, we’re building a culture where everyone feels safe, supported, and free to be their brilliant, authentic selves.

If you have a preferred name, please use it to apply and share your pronouns if you are comfortable to do so. If you have any reasonable adjustment requests throughout the interview process please let us know on your application or speak to the Recruiter.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.