About the role
A day in the life
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Generate key insight from our internal and external data sources and tooling to inform, refine and optimise our marketing channel strategies
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Pair with marketing managers and specialists to design, implement and evaluate A/B and multivariate testing across customer journeys (e.g. onboarding, engagement, retention and cross-sell)
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Model and forecast the impact of changes that you are driving through analysis
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Own the development of a structured incrementality testing framework
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Contribute to attribution, cross-product and lifecycle analytics, looking horizontally across engagement, retention and cross-sell rather than purely at individual journeys
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Take on ownership of analytical projects and identifying new and exciting growth and engagement opportunities through analysis
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Monitor key marketing metrics to understand how the function is performing and regularly present this to marketing managers and senior stakeholders
About you
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You’re T-shaped having a broad understanding across multiple marketing channels and domains, alongside deep expertise in a specific marketing area (e.g. CRM, Paid Search, SEO, etc)
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Highly analytical with excellent attention to detail, and have experience working with large datasets and campaign performances
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Strong quantitative background, and are naturally curious about turning data into insight to make decisions
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You have experience using SQL and/or Natural Language Query (NLQ)
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Ability to communicate your insights succinctly, stick to key results and influence upwards, downwards and sideways
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You build strong relationships and collaborate effectively across teams. You are comfortable constructively challenging assumptions and decisions when needed, while maintaining respect and empathy for others
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Proactive and self-motivated, with the judgement to know when to seek support whilst taking ownership and driving work forward independently
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You have a growth mindset and are always on the lookout for new learning opportunities and strive to be on the cutting edge
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Experienced working in cross-functional teams with many skillsets coming together to make amazing products and customer journeys
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Exposure to Python or statistical analysis
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Experience with BI tools such as Tableau, Looker or Power BI
- Understanding of customer segmentation or experimentation frameworks
Added bonus:
Please note - no candidate will meet every single desired qualification. If your experience looks a little different from what we’ve identified and you think you can bring value to the role, we’d love to learn more about you!
At Zopa we value flexible ways of working.
We value face-to-face collaboration and a good work-life balance. This hybrid role requires you to come to our London office 2-3 days a week.
You'll also have the option of working from abroad for up to 120 days a year!* But no matter where you are, we’ll make sure you’ve got everything you need to thrive, both in your work and home life, from day one.
*Subject to having the right to work in the country of choice
Diversity Statement
Zopa is proud to offer a workplace free from discrimination. Diversity of experience, perspectives, and backgrounds leads to better products for our customers and a unique company culture for our people. We are made up of nearly 50 nationalities, have a DE&I forum made up of Zopians wanting to make a difference and we are proud of our culture where everyone can bring their full self to work. Our approach to DE&I is reflected in our hiring process so please let us know if you require any reasonable adjustments.
Our approach to AI in interviews
At Zopa, AI isn't something we're testing out — it's part of how we work every day. As a proud partner of Jobs 2030, we're committed to building AI fluency across our workforce, and we expect Zopians to use AI as part of how they do their jobs.
Because of that, we want to be transparent about how we think about AI use during our hiring process.
Behavioural and competency-based interviews: please don't use AI. These conversations are designed to understand you — your experiences, your judgment, and how you've approached real situations. An AI-generated answer can't tell us that. What it can do is get in the way of us finding out whether we're the right fit for each other.
Technical interviews: it depends on the role. Some technical stages actively welcome AI use, others don't. Your Talent Partner will let you know what's expected at each stage. Where AI is part of the assessment, we'll be interested not just in the outcome, but in how you used it – the tools you chose, your reasoning, and the decisions you made along the way.
