Analytics Engineer Full-time

Analytics EngineerHybridFull timeLondon, England, United KingdomShare this job DescriptionLyst is a global fashion shopping platform founded in London in 2010 and catering to over 160M shoppers per year. We offer our customers the largest assortment of premium and luxury fashion products in one place, curating pieces from 27,000 of the world's leading brands and stores. In 2025, Lyst joined Zozo, operators of Zozotown, the leading fashion e-commerce platform in Japan. This partnership marks a bold new era for Lyst, as we accelerate our vision and work together to transform the future of fashion shopping through AI and technology.At Lyst, we obsess over the customer, providing a search and discovery experience which offers inspiration, fulfilment, and personalisation. We believe that fashion is amazing but shopping for fashion often isn't, and we use our technology, data and creativity to bring more joy, greater choice and fewer fails. Our mission is to help fashion shoppers make better decisions and help fashion partners find better audiences as the category-leading destination for every fashion shopper.We are looking for an Analytics Engineer to join our central Data Platform team. We record nearly 100 million lines of data every day and model it across roughly 600 dbt models that power the answers to the product and commercial questions we face. You will help us grow and improve that foundation so the business can go further with it.This is a genuinely exciting time to join. We are building AI on top of our data, changing how we model, serve and govern it so that teams across Lyst can put AI to work and get to answers themselves instead of waiting in a queue. As an Analytics Engineer you will be hands on with that work, learning fast and growing your craft as the data platform evolves.You will sit in the central Data Platform team and partner closely with a product development squad in our customer experience tribe. You will work alongside them to give the team visibility on how their features perform and a clear picture of what customers do with what they build. That combination of central platform work and embedded product partnership is a big part of what makes the role varied.Some of the projects you will work on include:Building data models and transformation pipelines across the breadth of Lyst dataOptimising our Snowflake warehouse for cost, complexity and speed to answerMigrating our BI stack from Looker to Omni and helping teams get real value from itGetting our data ready for AI, so both stakeholders and AI tools can query it reliablyAutomating repetitive analysis and reporting, including with AI toolingKeeping data quality high and holding the line on our data contractsYou will be part of the Data Platform team and work closely with engineers, analysts and business stakeholders across the company.Responsibilities: Building and maintaining well-modelled data pipelines across the breadth of Lyst data and use casesPartnering with your squad in the customer experience tribe to model the data behind their features and show how those features performWorking with engineers and our data platform engineer to raise data quality and testing standardsMaintaining and optimising our warehouse and BI tooling, spotting opportunities to reduce complexity, cost and time to answerBuilding the models and semantic layer that let stakeholders and AI tools get trustworthy answers on their ownDeveloping and implementing best practice, including guidelines, automation, testing, metadata and data designReviewing code and supporting other teams on data ingestion and modelling, providing rich data outputs for end usersHelping deliver our wider data strategy, including the shift toward AI in the data platformBridging the gap between how data is created and how it gets used, and supporting stakeholders on data definitions and relationshipsOur stack includes: Snowflake, dbt, AWS, Omni (we are migrating across from Looker), Monte Carlo,...