Messy spend management is tricky business. And tedious processes are a lose-lose situation for all involved, not just finance. We build spend solutions that make managing money seamless, empowering, and surprisingly effective for finance teams and employees alike—with a vision to help all businesses 'go beyond'.

With great ambitions driving us forward, we can't say we've got this whole thing figured out. We're looking for a Full Stack Data Analyst to join our Critical Data Products (CDP) team at Pleo. In this role, you'll be a key player in turning payment data into actionable insights that drive decisions across the company.

You'll work end-to-end — from building data models to creating dashboards and presenting recommendations to stakeholders. You'll partner closely with Product and Engineering teams in the Payments area to help improve payment performance, reduce failures, and strengthen decision-making through high-quality metrics and insight tooling. You'll also be part of the broader Product Hub, focused on enabling our full company to be data-driven, using analytics and AI to speed up.

You'll be reporting to the Manager of the CDP team which sits within the Product Hub in the Data department. The CDP team include members from Data Analytics, Data Engineering, Data Science and Analytics Engineering all working together to support a wide scope across KYC/Compliance, FinCrime, Credit, Card/Banking Infrastructure, Regulatory Reporting and product teams across Pleo, delivering critical data pipelines, dashboards, reporting, strategic insights and data enablement guidance. We build strong relationships with our stakeholders, provide reliable data products, stay on top of strategic priorities, and proactively bring insights that drive impact.

As a Fullstack Data Analyst you will: Conduct analysis on transactional data, present insights,



and share your recommendations with stakeholders Support with payment migrations, incident follow-ups, and strategic work with clear, data-backed narratives, and work with engineers to ensure that the metadata passed is useful for downstream reporting Empower internal teams with high-quality, self-serve reporting through dashboards and reports in Looker Advanced SQL skills and solid experience with data modeling in dbt Solid experience with data visualisation tools, specifically Looker and LookML You are comfortable working following high engineering and data platform standards (e.g. CI/CD, code reviews, PRs, established data governance...) You are excited to partner closely with non-technical business domain experts and to learn from senior colleagues from many data disciplines You find it difficult to proactively engage with colleagues outside of the Data world Grow your career in a supportive culture where you'll gain cross-functional insights from our team including Data Engineers, Data Analysts, and Analytics Engineers, as well as from payment experts Gain hands-on experience on transforming raw data into insights that drive business value We're committed to helping you develop your career, whether that means taking on bigger projects, stepping into leadership, or acquiring new skills in data and analytics. We can hire either remotely, hybrid or in office but you need to be physically based in any of those countries.





Please note we are unable to offer visa sponsorship for this role in any of the listed locations you find in the job info so you will need to have a valid right to work. Lunch is on us for your work days - enjoy catered meals or receive a lunch allowance based on your local office We offer 25 days of holiday + your public holidays For our Team, we offer both hybrid and fully remote working options Option to purchase 5 additional days of holiday through a salary sacrifice A 30-minutes chat with our Talent Partner to discuss the role and your background A SQL coding exercise you complete separately A 60-minutes meeting with the team manager to deep dive into your technical experience, domain knowledge and project experience Last time we hired a Fullstack Data Analyst, we received a total of 600 applications but only 18 were selected for an intro call. We love seeing people leverage AI—it's a big focus for us internally too—but without human intervention, these CVs can sometimes become generic and fail to show a candidate in the best light.

A Fullstack Data Analyst at Pleo is someone who can equally spar with business stakeholders while also getting into the weeds of dbt tables management. We really care about payments domain knowledge as much as we care about your SQL/dbt/Looker skills. We've taken great care in writing this role description to reflect the reality of the job as best as possible, please ensure you read it carefully and highlight on your CV the experience relevant to what we are looking for Please submit your application in English; it's our company language so you'll be speaking lots of it if you join When you submit an application we process your personal data as a data processor.

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📌 Data analyst / analyst (Madrid)
🏢 Pleo
📍 Madrid