Smart company cards. Automated expense reports. Out-of-pocket expenses. One solution for all your company spending.
Analytics Engineer (mid-level)
Location
United Kingdom
Posted
41 days ago
Salary
0
Seniority
Mid Level
Job Description
Analytics Engineer (mid-level)
Pleo
About Pleo Messy 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’. The 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. Now, 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. About the role We’re looking for an Analytics Engineer to join our Critical Data Products (CDP) team at Pleo. This team is pivotal in delivering and enhancing high-quality, robust data solutions that underpin Pleo’s essential data-driven products and operations. You will focus on building and refining the data models, semantic layers, and data structures that are the backbone of business critical data pipelines. This role is ideal for someone who loves translating complex requirements into clean and scalable models, and who wants to work in a fast-paced, product-led environment where data is core to decision-making. 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, 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. The team delivers critical data pipelines, dashboards, reporting, strategic insights and data enablement guidance within this scope. 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 - Build and maintain business-critical data models in dbt that power credit, payments, and fraud/AML reporting and decision-making. - Partner closely with stakeholders, Data Engineers and Data Analysts to align on requirements, ownership, and success criteria. - Contribute to our semantic layer (LookML) to enable consistent and scalable reporting as well as self-serve exploration. - Own and improve data quality through testing, documentation, monitoring, and proactive issue detection (including working with orchestration where needed, e.g. Airflow/Astronomer). - Contribute to shared analytics engineering ways of working: code reviews, standards, reusable patterns, and reducing technical debt. What you bring - Solid experience working with dbt and modern cloud data warehouses like BigQuery. - Strong SQL skills and experience building well-structured, reusable models in a layered architecture. - Ability to translate messy or ambiguous business logic into clean, performant data transformations. - Familiarity with Git-based workflows, version control, and basic CI/CD practices for analytics code. - 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 in the areas of payments, credit, and fraud/AML. This role may not be for you if: - You want to go deep in one domain for a long time. As an AE in the CDP team, you will be supporting multiple domains and shared definitions, which can mean a lot of context switching. - You prefer lower-stakes analytics work. The CDP team works on business critical (credit, payments, fraud/AML) matters, so reliability and operational discipline are a bigger part of the job. - You find it difficult to proactively engage with colleagues outside of the Data world. How you’ll develop in this role In your first few months at Pleo, you will: - Dive deeper into at least one of our business-critical domains (Credit, Payments, Fraud/AML) and learn the reliability expectations around those pipelines and models. - 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 business stakeholders. - Expand your impact by enabling analysts and stakeholders to work more effectively with trusted, well-documented data. 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. We’re happy to share more about our approach to pay and this range during your first call with us! 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 - Intro call: A 30-minutes chat with our Talent Partner to discuss the role and your background. - A SQL coding exercise you complete via our secure coding platform - A Hiring Manager interview: A 60-minutes meeting with the team manager to deep dive into your technical experience, domain knowledge and project experience. - 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 an Analytics Engineer, we received a total of 268 applications but only 8 were selected for an intro call. Some of the key reasons why previous candidates didn’t make it past the application screening stage include: - 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. - Profile to role fit: there was misunderstanding about the type of experience we expect from an Analytics Engineer and we received many applications from candidates who had never been exposed to a product-led environment or had been exclusively focused on SQL/dbt work when we’re looking for both technical and stakeholders management, as well as team collaboration experience. 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. About your application - English first. Since it's our company language, please submit your application in English. You’ll be using it a lot if you join us. - A fair look for everyone. Our talent team reads every single application to ensure the process is fair. To keep things running smoothly, we only accept applications through our system—our support team can’t pass on calls or emails. - Diversity drives us. We can only reach our goals if our team reflects the world around us. That starts with you hitting apply, even if you don't tick every single box. We encourage people from all backgrounds and experiences to join us. - Interview at your best. We want you to feel comfortable throughout the process. If you have any accessibility requirements or need a specific format, email belonging@pleo.io. We’ll design a process that works for you. - Your data is safe. When you apply, we process your personal data as a data processor. For more information on how Pleo processes personal data, read our Privacy Policy here. - Applying for multiple roles? Nothing is stopping you, and we assess every role independently. However, we do look for alignment, so make sure you can explain why your interest and experience are right for each specific role. - Reapplying. If you’re applying for the same role again, please wait six months from your last decision before hitting submit.
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