Fullstack Data Analyst

About the role

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. 

Please note applications will be open until Monday 30th March 2026 at 09.00 GMT. 
We will not review any applications before then so that everyone is given a fair chance, please take the time to submit your application.

Who you’ll be working with

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.

Our 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.

What you’ll be doing 

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.
• Define 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.
• Support in automation of regulatory and compliance reports.

What you bring 

• Advanced SQL skills and solid experience with data modeling in dbt.
• Solid experience with data visualisation tools, specifically Looker and LookML.
• Hands-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).
• A strong sense of ownership and responsibility for your work, pragmatic problem-solving and stakeholder management skills.

Why is this role a good fit for you

This role is for you if:

• 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 want to deepen your knowledge and expertise of the payments and finance domains.

This role may not be for you if:

• You haven’t previously worked with payments infrastructure: this is a non-negotiable for us.
• You find it difficult to proactively engage with colleagues outside of the Data world.
• You have never worked on a codebase that is largely shared between many people.

How you’ll develop in this role 

In your first few months at Pleo, you will:

• Dive into the payments infrastructure that is the backbone of everything that we do at Pleo.
• 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.

The location

The 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.
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.

Show me the benefits!

• 💳 Your own Pleo card (no more out-of-pocket spending!)
• 🍜 Lunch is on us for your work days - enjoy catered meals or receive a lunch allowance based on your local office 
• 🏥 Comprehensive private healthcare - depending on your location, coverage options include Vitality, Alan or Médis 
• 🌴 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
• ❤️‍🩹 We use MyndUp to give our employees access to free mental health and well-being support with great success so far  
• 👶 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 work 

The Interview Process

1. Intro call: A 30-minutes chat with our Talent Partner to discuss the role and your background.
2. A SQL coding exercise you complete separately
3. A Hiring Manager interview: A 60-minutes meeting with the team manager to deep dive into your technical experience, domain knowledge and project experience.
4. A Team interview: a 60-minutes interview with the team where we’ll deep dive into your analytical approach and business domain knowledge.

Transparency 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! 

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 want to help you understand what we really care about when reviewing your application:

• We 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.
  
  
• Every 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.
  
  
• 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.

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