A day in the life
Generate key insight from our internal and external data sources and tooling to inform, refine and optimise our marketing channel strategies
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)
Model and forecast the impact of changes that you are driving through analysis
Own the development of a structured incrementality testing framework
Contribute to attribution, cross-product and lifecycle analytics, looking horizontally across engagement, retention and cross-sell rather than purely at individual journeys
Take on ownership of analytical projects and identifying new and exciting growth and engagement opportunities through analysis
Monitor key marketing metrics to understand how the function is performing and regularly present this to marketing managers and senior stakeholders
About you
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)
Highly analytical with excellent attention to detail, and have experience working with large datasets and campaign performances
Strong quantitative background, and are naturally curious about turning data into insight to make decisions
You have experience using SQL and/or Natural Language Query (NLQ)
Ability to communicate your insights succinctly, stick to key results and influence upwards, downwards and sideways
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
Proactive and self-motivated, with the judgement to know when to seek support whilst taking ownership and driving work forward independently
You have a growth mindset and are always on the lookout for new learning opportunities and strive to be on the cutting edge
Experienced working in cross-functional teams with many skillsets coming together to make amazing products and customer journeys
Exposure to Python or statistical analysis
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!
Skills Required
- Experience using SQL
- Proven analytical skills with large datasets
- Strong quantitative background
- Collaborative experience in cross-functional teams
What We Do
We’re Zopa, and we want to make money work better for you. Our diverse team is united in their mission of creating simple, fair and honest financial products that have the customer’s needs at their heart. We’re proud that this dedication is reflected in our excellent rating on TrustPilot. We’ve always been unapologetically honest with our customers, and value the same in return. Their feedback helps us shape what we build, so we can provide a bank fit for today, and for the future. We’re not the new kids on the block though - we’ve been a pioneering force in finance for 16 years. In 2005, we built the first ever peer-to-peer (P2P) lending company, giving our customers access to loans built for real-life and intelligent investments backed by cutting-edge tech. In 2020, we launched Zopa Bank, meaning we could offer more – like fixed term savings backed by FSCS protection and a credit card to help customers take control of their finances. We’ve lent out over £6 billion and are proud to have made money work better for over half a million people across the UK, whether they were looking to borrow or save.
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