Analytics Engineer in London

Lyst 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. 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. 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.

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 data
• Optimising our Snowflake warehouse for cost, complexity and speed to answer
• Migrating our BI stack from Looker to Omni and helping teams get real value from it
• Getting our data ready for AI, so both stakeholders and AI tools can query it reliably
• Automating repetitive analysis and reporting, including with AI tooling
• Keeping data quality high and holding the line on our data contracts

You 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 cases
• Partnering with your squad in the customer experience tribe to model the data behind their features and show how those features perform
• Working with engineers and our data platform engineer to raise data quality and testing standards
• Maintaining and optimising our warehouse and BI tooling, spotting opportunities to reduce complexity, cost and time to answer
• Building the models and semantic layer that let stakeholders and AI tools get trustworthy answers on their own
• Developing and implementing best practice, including guidelines, automation, testing, metadata and data design
• Reviewing code and supporting other teams on data ingestion and modelling, providing rich data outputs for end users
• Helping deliver our wider data strategy, including the shift toward AI in the data platform
• Bridging the gap between how data is created and how it gets used, and supporting stakeholders on data definitions and relationships

Our stack includes: Snowflake, dbt, AWS, Omni (we are migrating across from Looker), Monte Carlo, Terraform, Snowpipe, GitHub, and a growing set of AI tooling.

Requirements:

• Strong SQL, with experience working across large, complex datasets, spotting issues and keeping data quality high
• Experience with dbt and data modelling, and a want to get better at both
• A good communicator, comfortable working with technical and non-technical stakeholders
• Sensible judgement about what to prioritise, so you can focus on the problems that matter most
• An eye for repetitive work that can be automated
• Comfortable using AI tools in your own workflow, and genuinely interested in how they are changing analytics engineering
• Experience with a BI tool such as Omni, Looker, Lightdash or equivalent
• Experience with git, Terraform, Python or Jira would be a great bonus
• Familiarity with cloud environments such as AWS, GCP or Azure is a plus

Things that matter to us:

• You have a passion for solving problems at scale through automation
• You are excited about learning and sharing your knowledge with peers
• You are curious at heart and like to take ownership of something to make it better
• Being confronted with a difficult or strange problem makes you feel like a detective who wants to crack the mystery
• You have a sense of ownership over the products, features and services the team looks after
• You strive to write clear, well documented, tested code, and you look to improve existing code and ways of working.

Benefits:

• We all come into the office on Tuesdays and Thursdays, with the option to work remotely or come into the office on the other days.
• In addition to the 8 statutory bank holidays, you will receive 29 holidays per year.
• Competitive Family Leave Package, including Enhanced Family Leave for those eligible, paid Time off for Dependents and Support for Fertility Treatment & Loss.
• Clothing Benefit: a clothing allowance to use on Lyst every year.
• Private Healthcare: comprehensive healthcare scheme from the day you start.
• Training Allowance: an annual training allowance of £1,000.
• Pension Scheme: minimum employee contribution of 5% and 3% employer contribution.
• Eye Tests and Vouchers: free eye test every year and a discount towards glasses.
• Cycle-to-Work Scheme: Lyst will purchase a bicycle from your chosen retailer.
• Transport Season Ticket Loan: interest free season ticket loan to support your travel to work.
• Frequent company wide social events including Christmas & summer parties, sports days, themed drinks, quizzes, cook alongs, as well as smaller team socials.

Diversity and inclusion is an integral part of our culture at Lyst. We recognise and celebrate the value and impact diversity brings to our company and are committed to ensuring this is a consistent focus, for which we are held to account. We are committed to treating all applicants fairly and equally, and encourage candidates from all backgrounds to apply for this role.

Don’t meet every single requirement? At Lyst we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway.