110 Best info Jobs in Ciudad Lineal (July 2026)

Fullstack Data Analyst

4 days ago

Madrid

pMessy spend management is tricky business. And tedious processes are a lose-lose situation for all involved, not just finance. At Pleo, we're changing that. 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’.brThe word ‘Pleo’ actually means ‘more than you’d expect’, and living by that mantra has been the secret to our success over the last 10 years.brNow, we’re at a pivotal moment in our journey; every move we make has a direct impact on our 40,000+ customers, our business, and our collective success. We need people who take pride in uncovering customer needs, who turn complex problems into simple solutions, challenge the way things are done (respectfully), and always aim high. With great ambitions driving us forward, we can’t say we’ve got this whole thing figured out. And frankly, that’s half the fun! What we can say is that we’re a driven, progressive, and, importantly, a kind bunch of 850+ people from over 100 nationalities, all committed to delivering the future of business spending, together.brstrongAbout The Rolebr/strongWe’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.brYou’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.brstrongPlease note applications will be open until Monday 30th March 2026 at 09.00 GMT.brWe will not review any applications before then so that everyone is given a fair chance, please take the time to submit your application.br/strongWho you’ll be working withbrYou'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.brOur team values trust, reliability, business understanding, alignment, and proactivity. We build strong relationships with our stakeholders, provide reliable data products, stay on top of strategic priorities, and proactively bring insights that drive impact.brWhat you’ll be doingbrAs a Fullstack Data Analyst you will:brulliConduct analysis on transactional data, present insights, and share your recommendations with stakeholders /liliSupport 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 /liliEmpower internal teams with high-quality, self-serve reporting through dashboards and reports in Looker /liliDefine and operationalise core payments metrics (for example success rate, approval/decline rates, processing costs, volume, and operational impact) by setting up robust analytics foundations in dbt /liliSupport in automation of regulatory and compliance reportsbr/li /ulWhat you bringbrulliAdvanced SQL skills and solid experience with data modeling in dbt /liliSolid experience with data visualisation tools, specifically Looker and LookML /liliHands-on experience in payments analytics and a solid grasp of core payment concepts (e.g., authorization/clearing/settlement, payment methods, decline reasons, chargebacks, fraud signals, risk) /liliA strong sense of ownership and responsibility for your work, pragmatic problem-solving and stakeholder management skillsbr/li /ulWhy is this role a good fit for youbrThis role is for you if:brulliYou are comfortable working following high engineering and data platform standards (e.g. CI/CD, code reviews, PRs, established data governance…) /liliYou are excited to partner closely with non-technical business domain experts and to learn from senior colleagues from many data disciplines /liliYou want to deepen your knowledge and expertise of the payments and finance domainsbr/li /ulThis role may not be for you if:brulliYou haven’t previously worked with payments infrastructure: this is a non-negotiable for us /liliYou find it difficult to proactively engage with colleagues outside of the Data world /liliYou have never worked on a codebase that is largely shared between many peoplebr/li /ulHow you’ll develop in this rolebrIn your first few months at Pleo, you will:brulliDive into the payments infrastructure that is the backbone of everything that we do at Pleo /liliGrow 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 /liliGain hands-on experience on transforming raw data into insights that drive business valuebr/li /ulWe’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.brThe locationbrThe role can be based in Denmark, Portugal, Spain or the UK. We can hire either remotely, hybrid or in office but you need to be physically based in any of those countries.brPlease 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.brShow me the benefits!brulli Your own Pleo card (no more out-of-pocket spending!) /lili Lunch is on us for your work days - enjoy catered meals or receive a lunch allowance based on your local office /lili Comprehensive private healthcare - depending on your location, coverage options include Vitality, Alan or Médis /lili We offer 25 days of holiday + your public holidays /lili For our Team, we offer both hybrid and fully remote working options /lili ️ Option to purchase 5 additional days of holiday through a salary sacrifice /lili❤️🩹 We use MyndUp to give our employees access to free mental health and well-being support with great success so far /lili Paid parental leave - we want to make sure that we're supportive of families and help you feel that you don't have to compromise your family due to workbr/li /ulThe Interview ProcessbrulliIntro call: A 30-minutes chat with our Talent Partner to discuss the role and your background /liliA SQL coding exercise you complete separately /liliA Hiring Manager interview: A 60-minutes meeting with the team manager to deep dive into your technical experience, domain knowledge and project experience /liliA Team interview: a 60-minutes interview with the team where we’ll deep dive into your analytical approach and business domain knowledgebr/li /ulTransparency is important to us so we also wanted to share some insights about what we’re looking for in applications to ensure you can set yourself up for success!brLast time we hired a Fullstack Data Analyst, we received a total of 600 applications but only 18 were selected for an intro call. We want to help you understand what we really care about when reviewing your application:brulliWe receive a lot of CVs, and many of them are AI-generated. 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. What we're really looking for is the specific details of real impact that only you—not AI—know from your previous experience. A top tip from us is to use the “Achieved X, as measured by Y, by doing Z” formula (credit: Laszlo Bock, ~2014) to give a really clear picture of what you’ve worked on. A final note: including links to your previous companies' websites is a huge help and allows us to truly understand your background /liliEvery single application we receive is reviewed by a human (yes, hundreds of them) because we believe that candidates' efforts should be matched by an equal level of human care. This means that we expect a similar level of attention put into your application. Read and answer the application questions carefully, they make a huge difference in our decision-making process /liliA 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 forbr/li /ulstrongAbout Your Applicationbr/strongulliPlease submit your application in English; it’s our company language so you’ll be speaking lots of it if you join /liliWe treat all candidates equally: If you are interested please apply through our application system - any correspondence should come from there! Our lovely support team isn't able to pass on any calls/ emails our way - and this makes sure that the candidate experience is smooth and fair to everyone 😊 /liliWe can only achieve our goals if our team reflects the diversity of the world around us - and that starts with you, hitting apply, even if you are worried you might not tick all the boxes. We embrace and encourage people from all backgrounds to apply - regardless of race/ethnicity, colour, religion, nationality, gender, sex, sexual orientation, age, marital status, disability, neurodiversity, socio-economic status, culture or beliefs /liliWhen you submit an application we process your personal data as a data processor. Find out more about how your data is used in the FAQs section at the bottom of our jobs page /li /ul /p #J-18808-Ljbffr

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