
Senior Growth Analyst
Moonpig
full-time
Posted on:
Location Type: Hybrid
Location: London • United Kingdom
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Job Level
About the role
- 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.
Requirements
- 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.
Benefits
- 💰 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLPythondata analysisdata preparationautomationmarketing measurementattributionperformance marketing analysiscohort analysistest-and-learn analysis
Soft Skills
analytical thinkingcommunicationcollaborationprioritizationproblem-solvingstakeholder managementstorytellingstructured analysisconcise reportingadaptability