Analytics Engineer

<p style="min-height:1.5em"><strong>About Us</strong></p><p style="min-height:1.5em">Lupa is building a category defining product the industry has never seen before.</p><p style="min-height:1.5em">We’re the AI-native operating system for veterinary practices and pet parents, replacing the fragmented, clunky systems vets have tolerated for years with a single intelligent platform for scheduling, client communication, clinical documentation, and AI-driven care guidance. Practices run more efficiently, vets get back to doing what they love, and pet parents feel more connected to their animals’ health than ever.</p><p style="min-height:1.5em">The traction speaks for itself: one of Europe’s top 100 AI startups with a team of 50 people, 10x growth in twelve months, the UK market leader, and now charging hard into the US and Europe. We have $25M in funding, 1M+ pets on the platform, and a buzzing HQ in Paddington, London.</p><p style="min-height:1.5em">This is a rare chance to join a rocket ship at exactly the right moment and we’re looking for exceptional people to help us fly it.</p><p style="min-height:1.5em"></p><p style="min-height:1.5em"><strong>In this role, you will:</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Own the analytics layer of our data platform; writing, structuring, and maintaining the SQL models that power dashboards, product metrics, and business intelligence across Lupa</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Transform raw data from our platform into clean, reliable, well-documented datasets that Product, Engineering, and Commercial teams can actually use</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Build and maintain reports that give the business a clear picture of clinical outcomes, practice performance, customer health, and growth metrics</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Define and enforce data modelling best practices, including naming conventions, documentation standards, and testing coverage</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Partner closely with the wider Data team to ensure analytics models sit on top of solid, well-engineered pipelines</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Work directly with stakeholders across the business to understand what they need to know, translate that into clean SQL, and deliver answers that drive decisions</p></li></ul><p style="min-height:1.5em"></p><p style="min-height:1.5em"><strong>Your background looks something like:</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">2–3 years of hands-on experience in an analytics engineering, SQL engineering, or BI engineering role</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Exceptional SQL skills, you write complex queries fluently, understand query optimisation, and care deeply about data model structure and readability</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Solid experience with data modelling principles and building scalable, well-tested analytics layers (dbt experience strongly preferred)</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Comfortable working with large, messy datasets and turning them into something clean, reliable, and trustworthy</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Experience in a B2B SaaS, health-tech, or fast-growth startup environment (nice to have)</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Familiarity with BI tooling such as Looker, Metabase, or similar (nice to have)</p></li></ul><p style="min-height:1.5em"><strong>As a person, you:</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Are proactive and self-structured, you create order in chaos and don’t need a rigid process to do great work</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Communicate clearly and confidently with non-technical stakeholders, you can explain a data model to a sales lead without losing them</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Take ownership of data quality as a first principle, if something looks wrong, you investigate and fix it, you don’t just flag it</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Thrive in a fast-moving environment where the data landscape is constantly evolving as the product grows</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Are excited to work in-person from our Paddington, London HQ</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Value working with people who are kind, ambitious, and pragmatic</p></li></ul><p style="min-height:1.5em"></p><p style="min-height:1.5em"><strong>What does success look like in 6 months?</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">You own the analytics layer with confidence, models are clean, documented, tested, and trusted across the business</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Stakeholders come to you first when they need to understand what’s happening in the data, because they know you’ll give them a straight answer</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">You’ve made a visible impact on how the business uses data to make decisions</p></li></ul><p>Find more <a href="https://www.arbeitnow.co.uk/english-speaking-jobs">English Speaking Jobs in United Kingdom</a> on Arbeitnow</a>