Job Description
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.
If you’re looking to make an impact, bring your spark and be part of something meaningful – we’d love to have you on the team. 🌙🐷
Senior Growth Analyst (Customer Engagement) |📍 London – Hybrid | 💰 Competitive Salary + Benefits
The Senior Growth Analyst (Customer Engagement) sits within our Growth Analytics team and plays a key role in helping Moonpig understand and improve the performance and impact of our customer engagement activity. This role is primarily focused on Reminders — a major driver of Moonpig’s trading performance and repeat customer behaviour. You’ll provide clear, trusted insight into how Reminders are performing, what’s driving outcomes, and where we should prioritise improvements across the customer journey, channel execution, and measurement. Alongside Reminders, you’ll also support wider lifecycle and customer engagement activity, including newsletters, app push, triggered campaigns, and other customer communications. By bringing together robust analysis and clear storytelling, you’ll help Marketing and Product teams make better decisions, improve customer experience, and drive repeat purchase.
Key Responsibilities
- Own the analytics for Reminders, providing regular performance views and insight across key metrics such as sends, engagement, conversions, and revenue.
- Investigate movements in Reminders performance, identifying drivers and raising risks, issues, or opportunities with stakeholders.
- Lead deep dives into Reminders topics including send strategy, customer experience (relevance, fatigue, opt-outs/unsubscribes), conversion behaviour, and landing journeys.
- Provide a robust view of Reminders impact beyond last-touch reporting, using approaches such as holdouts, test-and-learn analysis, and cohort or behavioural comparisons, and clearly explaining trade-offs.
- Develop forward-looking views for Reminders, highlighting risks and opportunities ahead of key trading moments.
- Support weekly and monthly performance forums for Customer Engagement and Reminders, producing concise readouts, insights, and actions.
- Support measurement for Reminders experiments, partnering with the Marketing Effectiveness Lead on approach, readouts, and implications.
- Provide analytical support across broader customer engagement activity, connecting channel performance to customer outcomes and helping teams prioritise improvements.
- Act as the go-to person for customer engagement tracking and attribution, clearly representing how tagging and attribution shape performance reporting.
- Triage tracking queries and issues, routing them to the right teams with clear context and recommended next steps.
- Shape and prioritise the Reminders analytics agenda with stakeholders, focusing effort on the highest-impact questions.
- Help embed standardised analytical frameworks and metric definitions into reporting and BAU analysis to ensure consistency and “one version of the truth”.
- Communicate findings clearly through well-structured slides and conversations, explaining what’s happened, why it matters, and what should happen next.
- Partner closely with BI, Digital Analytics, and Analytics Engineering to ensure Snowflake models, pipelines, and Tableau reporting support your work.
- Provide ad hoc performance marketing analysis where it intersects with customer engagement measurement and attribution.
About you
- You have experience in growth analytics, marketing analytics, or lifecycle/customer engagement analytics within an e-commerce, retail, or digitally led environment.
- You’re confident working with large datasets using SQL in a cloud data warehouse, ideally Snowflake or similar.
- You have hands-on experience using Python (or similar) for analysis, data preparation, or automation.
- You’re a strong analytical thinker who can break down ambiguous questions into structured analysis and clear recommendations.
- You’ve analysed performance across customer engagement channels such as email, push notifications, or triggered journeys.
- You understand marketing measurement concepts, including the strengths and limitations of attribution, and when alternative approaches are needed.
- You’re comfortable working at pace, managing multiple requests, and prioritising effectively with stakeholders.
- You’re a clear, concise communicator who can tell a simple, compelling story for non-technical audiences.
- You enjoy working collaboratively across Analytics, Marketing, Product, and Data Engineering teams.
- You’re comfortable working with tracking, tagging, and channel taxonomy concepts and partnering closely with Digital Analytics teams.
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.
Want to know more?
Explore our full benefits package: here
Check out our podcast, tech blog and product blog to hear more about how we work and what we’re building!
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.
