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. 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, Terraform, Snowpipe, GitHub, and a growing set of AI tooling.RequirementsStrong SQL, with experience working across large, complex datasets, spotting issues and keeping data quality highExperience with dbt and data modelling, and a want to get better at bothA good communicator, comfortable working with technical and non-technical stakeholdersSensible judgement about what to prioritise, so you can focus on the problems that matter mostAn eye for repetitive work that can be automatedComfortable using AI tools in your own workflow, and genuinely interested in how they are changing analytics engineeringExperience with a BI tool such as Omni, Looker, Lightdash or equivalentExperience with git, Terraform, Python or Jira would be a great bonusFamiliarity with cloud environments such as AWS, GCP or Azure is a plusThings that matter to us:You have a passion for solving problems at scale through automationYou are excited about learning and sharing your knowledge with peersYou are curious at heart and like to take ownership of something to make it betterBeing confronted with a difficult or strange problem makes you feel like a detective who wants to crack the mysteryYou have a sense of ownership over the products, features and services the team looks afterYou strive to write clear, well documented, tested code, and you look to improve existing code and ways of working. When you spot the opportunity, you go for itBenefits 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. 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.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.
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. 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 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. When you spot the opportunity, you 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.
- 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.
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.
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. We are a scale-up business, combining an agile mentality with a proven business model and over a decade of experience. This provides a balance between foundations and structure, and autonomy and pace.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. Lyst has raised over $160m from leading investors including Accel, Balderton, Molten Ventures, Fidelity International, and LVMH.
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. We are a scale-up business, combining an agile mentality with a proven business model and over a decade of experience. This provides a balance between foundations and structure, and autonomy and pace.
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. Lyst has raised over $160m from leading investors including Accel, Balderton, Molten Ventures, Fidelity International, and LVMH.
