Product analyst in fintech

We're one of Europe's fastest-growing fintech companies – on a mission to create the world's most empowering way to pay. We launched the product in 2020 and achieved double unicorn status, valued at $2 billion, and since then have taken on more than 6 million customers. Our mission is to become the best way to pay for anything, anywhere and say goodbye to credit costs for everyone.

This is huge. Want to join us?

Own analytics for Zilch’s Merchant domain, covering shopping discovery, customer browsing behaviour, merchant-funded paid display and paid search, affiliate conversion, merchant ROAS, and marketplace performance. Analyse the customer shopping journey across browsing, search, merchant discovery, unlocks, clickouts, transactions, and repeat usage to identify opportunities to improve engagement, conversion, and monetisation. Design and analyse experiments across merchant placements and shopping features, including targeted vs random allocation, paid display exposure, search ranking, storefront changes, offer discovery, and journey improvements.

Build the measurement framework for merchant-funded growth, including incrementality, attribution windows, exposed vs control logic, ROAS, CPA, conversion, revenue per impression, and margin impact. Partner with Product and Commercial to shape audience packages and targeting strategies, ensuring they are commercially sellable, analytically measurable, and grounded in customer behaviour. Develop segmentation approaches for merchant-funded display and search, including category affinity, value bands, browsing intent, cross-sell audiences, lapsed users, and future lookalike opportunities.

Support the evolution from simple segment-based targeting towards more advanced allocation logic, recommendation systems, and marketplace decisioning. Work with Data Science, Data Engineering, and Engineering on the data foundations for merchant personalisation, including event tracking, feature creation, experimentation infrastructure, and model evaluation. Translate complex analysis into clear recommendations for Product, Commercial, and senior leadership.

Ideally, 5+ years of experience in product analytics, growth analytics, marketplace analytics, retail media analytics, performance marketing analytics, data science, or a closely adjacent role. Strong commercial judgement and fluency in ROAS, CPA, incrementality, attribution, LTV, conversion, margin, and marketplace trade-offs. Deep data skills. You’re fluent in SQL, comfortable working with large behavioural datasets, and able to independently investigate ambiguous problems, define the right metrics, and produce robust analysis.

Rigorous experimentation experience. You can design clean A/B tests, reason about incrementality and power, interpret results honestly, and know when data is good enough to act on. Experience analysing digital funnels, browsing behaviour, search behaviour, clickouts, conversion, paid placements, shopping discovery, or marketplace dynamics. Strong product instincts, with the ability to recommend and evaluate shopping features that improve customer engagement, discovery, conversion, and monetisation.

Commercially minded and comfortable working across Product and Sales. You can understand both customer value and merchant performance, and translate analysis into decisions that improve both. Strong communicator who can explain complex analytical concepts clearly to Product, Commercial, and Executive stakeholders. A proactive, growth-minded operator who is comfortable building analytical foundations in a new domain where the questions, data model, and product strategy are still evolving.

Будет плюсом:
Experience with segmentation, targeting, personalisation,…