Analytics Engineer position at Capi Money.| United Kingdom

Capi Money Analytics Engineer

Experience: 6-years

Pattern: full-time

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London....United Kingdom

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Capi is building the financial infrastructure for emerging markets trade.Backed by $18M+ from top-tier investors like Creandum, Y Combinator, General Catalyst, and angels from Revolut, Checkout, Stripe, and Remitly, we’re building the financial infrastructure that emerging markets deserve.Our mission is to grow GDP in emerging markets by making the global financial system fairer and more accessible. We’re tackling global trade, making it easier for importers to pay their international suppliers. Our platform enables businesses to expand rapidly, create jobs, and be engines of prosperity for their countries.Our team is made up of approx 100 people across 10 countries; we are a group of a highly-ambitious, get-it-done people, who like to work hard on something that has a tangible impact in the world. And we’re looking for more people to join our team!Take a look through Capi’s mission & values.Role Overview:At Capi, data is at the center of everything we do: it drives strategic decisions, informs product trade-offs, and clarifies the key financial levers behind our growth. We are strengthening the data function by hiring an Analytics Engineer to own our data function end-to-end. This is a rare opportunity to sit at the intersection of data, eng/product and business functions in a fast-growing fintech and deliver insights at scale.You'll architect and maintain the data models and pipelines that underpin the business, build self-serve dashboards for specific verticals, and act as a trusted data partner to stakeholders across the company.This is a highly cross-functional role. You will report into the Head of Finance and partner closely with leadership and teams across Finance, Growth, Product, Engineering, Treasury and Operations to ensure that decision-making is grounded in reliable, well-structured, and accessible data.Key Responsibilities:Data modelling and data foundationsDesign, maintain, and continuously improve our data models and structureEnsure data quality, reliability and availability by implementing best practices, including observability, alerting, and testing (for example, dbt tests).KPI definition and documentationFormalize and document the most important business and financial KPIs in collaboration with leadership and our Finance and Growth teams.Build alignment on definitions so metrics are consistent across the company.Dashboards and decision supportCreate and maintain clear, high-impact executive dashboards that support strategic decisions.Produce reporting that is complete, accurate, flexible, and structured for different audiences.Influence and best practicesPromote data best practices within the data team and across the company.Drive impact through team collaboration, without relying on hierarchical management.Requirements:6+ years of experience in building and maintaining central data models used cross functionally.Very high autonomy and a strong sense of ownership.Expert-level SQL, with the ability to design robust and scalable models.Extensive BI/dash-boarding experienceStrong ability to “tell the story” with data: framing, pedagogy, and business context.Fluent English (written and spoken).Ability to adapt communication style and level of detail to different audiences (Finance, Product, senior leadership, and investors).You are adaptable in a fast-paced environment and do well with versatilityBonus points if you:Have experience scaling data at an early stage start-up.Experience with Python, Java, Go or other relevant languagesHave experience modelling complex business KPIs such as revenue, retention, LTV, etc.Have a strong product mindset and care about business impact.Are fluent in FrenchAdditional Information:This is a full-time position with competitive salary, share options, and benefitsThis role requires at least 3 days a week in the office (Tues, Weds, Thurs)Ideal Start date: Q2, 2026 (we are aware that a notice period may need to be fulfilled and can adjust accordingly)Capi is an equal opportunity employer and welcomes candidates from diverse backgrounds. We’re all about building a diverse, inclusive team at Capi. Whoever you are, we’d love to hear from you. If there’s anything you need to make the interview process easier—whether it’s accessibility support, a different format, or just a heads-up about what to expect—just let us know, we’re happy to help.We've won some cool awards recently too! Check them out: Startups UK Top 100 (No. 24)Viva Technology Top 100Welcome to the Jungle's Fintech's Finest Top 50

Analytics Engineer job opportunity at Capi Money.

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