Job Description

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 & 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 & discovery experience which offers inspiration, fulfilment, and personalisation. We believe that fashion is amazing but shopping for fashion often isn't, and 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 Data Platform chapter and central Data Platform team. We record nearly 100 million lines of data daily with ~600 dbt models, and need you to help the business make sense of it by providing the capabilities that will help answer the product and commercial questions we face everyday.
As an Analytics Engineer, you will work across a range of exciting projects that focus on building a scalable, optimised, high quality and accessible data platform - from our data warehouse to our BI & product analytics tools.
Some of these projects will include:

• Building new data models and transformation pipelines
• Optimising our data warehouse
• Building scalable architecture
• Automating analysis and reporting
• Ensuring data quality and adherence to data contracts

You will be part of the Data Platform team, and work closely with Engineers, Analysts & Business Stakeholders across the company.
Your role will be varied and challenging, and will include:

• Building and maintaining robust data models and pipelines, across the breadth of Lyst data and use cases
• Working collaboratively with engineers and data platform engineers to highlight and improve data quality and testing
• Maintaining our data warehouse and Looker infrastructure, identifying opportunities and optimising for complexity, cost, and speed-to-answer
• Developing and implementing best practices, including guidelines, automations, testing, metadata, and data design
• Performing detailed code reviews and support other teams on data ingestion and manipulation, providing rich data outputs for end-users
• Supporting on delivering our data strategy initiatives
• Working closely with Analysts and Engineers to bridge the gap between data creation and data consumption
• Supporting internal stakeholders with reports and queries on data definitions and relationships

Our stack includes: Snowflake, dbt, AWS, Looker, Monte Carlo, Terraform, Snowpipe, GitHub.
Requirements

• Experience in analysing large, complex data sets, identifying issues, and ensuring data quality
• A great communicator, comfortable working directly with technical and non-technical stakeholders across the business
• Professional experience using advanced SQL to manipulate large data
• Impeccable experience in requirements analysis and implementation
• Ability to prioritise your problems in order to focus on the biggest issues
• Ability to spot opportunities to automate repetitive tasks
• Experience with dbt or a BI tool (Looker, Omni, Lightdash or equivalent)
• Experience with git, Terraform, Python, JIRA would be a great bonus
• Familiarity of cloud computing environments such as Amazon Web Services (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 that wants to crack the mystery
• You have a sense of ownership over products, features and services the team looks after
• You strive to write clear, well documented, tested code, and look to improve existing code and ways of working. When you find an opportunity, you are excited to go for it

Benefits

• Our Ways of Working: 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. We believe that in person collaboration and community spirit is super important, which is why we spend some of our time in the office and some of our time at home.
• Time Off: In addition to the 8 statutory bank holidays, you will receive 29 holidays per year. Lyst's holiday year runs from 1 April to 31 March.
• Competitive Family Leave Package: This includes Enhanced Family Leave for those eligible, paid Time off for Dependents and Support for Fertility Treatment & Loss.
• Clothing Benefit: We want you to enjoy using the Lyst app and site as much as our customers, so we provide you with a clothing allowance to use on Lyst every year. This starts at 250 when you join and increases up to 1,000 with your length of service.
• Private Healthcare: Our healthcare provider is Vitality. Your health is important to us which is why we offer all employees a comprehensive healthcare scheme from the day you start.
• Training Allowance: We're big on continuous learning and growth, so all employees are currently entitled to an annual training allowance of 1,000. This can be used to attend conferences, industry events, training courses and to purchase resources.
• Pension Scheme: Our pension provider is The People's Pension. We offer a minimum employee contribution of 5% and 3% employer contribution.
• Eye Tests and Vouchers: Employees can make a saving on their eye test and glasses through our chosen provider. You'll receive a free eye test every year and a discount towards glasses.
• Cycle-to-Work Scheme: Lyst will purchase a bicycle from your chosen retailer, you will then receive a voucher to pick up your bicycle from them.
• Transport Season Ticket Loan: Employees can apply for an interest free season ticket loan to support your travel to work.
• Social Events: Frequent company wide social events including Christmas & summer parties, sports days, themed drinks, quizzes, cook alongs, as well as smaller team socials. We also have plenty of interest based groups such as football, running club, book club, culinary and more.

We want to build a world where fashion works for everyone, and we want teams that are just as inclusive. 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. We are happy to talk about flexible working arrangements.
Don't meet every single requirement? Studies have shown that women and people of colour are less likely to apply to jobs unless they meet every single qualification. 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. You may be just the right candidate for this or other roles.