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Senior Analytics Engineer



Posted over 30 days ago...

Join the Fashion-Tech Revolution as a Senior Analytics Engineer at Lyst


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No salary declared 😔

icon Location

London United Kingdom

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Hybrid (In-person ~2 days / week)- UK

icon Expires

Expires at anytime

Organisation summary

Become part of Lyst, a leading global Fashion Tech company that's revolutionizing the shopping experience with its premium app. Founded in 2010 in London, Lyst facilitates joy and style by connecting over 200 million shoppers a year to 8.5 million+ fashion items from 17,000+ top brands. With a team of 160+ in London, Lyst combines the agility of a scale-up with the stability of over a decade in business. We're backed by industry giants like Accel, Balderton, and LVMH, and are on a mission to make fashion shopping delightful, personal, and fail-free for everyone.

Role Summary

  • Build and optimize scalable data models and transformation pipelines.
  • Manage data warehouse and business intelligence tools, promoting data quality and efficiency.
  • Collaborate with various teams to enhance data systems and processes.
  • Lead initiatives to automate analysis and reporting functions.
  • Coach and mentor junior Analytics Engineers, ensuring high standards.

Role Requirements

  • Proven experience in handling large, complex data sets.
  • Advanced SQL knowledge and experience with dbt.
  • Understanding of big data technologies and architecture.
  • Proficiency in BI tools such as Looker, Tableau, or equivalent.
  • Familiarity with git, Terraform, Python, JIRA, or AWS is a bonus.
  • Strong communication skills and a passion for problem-solving.

Lyst is a global Fashion Tech company and premium shopping app, founded in London in 2010 and catering to over 200M shoppers per year. We offer our customers the largest assortment of premium & luxury fashion items & products in one place, via an assortment of 8.5M+ items from over 17,000 of the world’s leading brands. We are a scale-up business with a current team size of c. 160 people in London, 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.

We are looking for a Senior 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 a Senior 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 report to the Director of Data Platform and work closely with Engineers, Analysts & Business Stakeholders across the company.

Key responsibilities:

  • Build and maintain robust data models and pipelines, across the breadth of Lyst data and use cases
  • Work collaboratively with engineers and data platform engineers to highlight and improve data quality and testing
  • Maintain our data warehouse and Looker infrastructure, identifying opportunities and optimising for complexity, cost, and speed-to-answer
  • Develop and implement best practices, including guidelines, automations, testing, metadata, and data design
  • Manage and coach more junior Analytics Engineers; perform detailed code reviews
  • Support on delivering our data strategy initiatives
  • Work closely with Analysts and Engineers to bridge the gap between data creation and data consumption
  • Research industry best practices to help us improve our existing data infrastructure, and continue to scale it with the growth of the business

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


  • Experience working with and modelling large, complex data sets, identifying issues, and ensuring data quality
  • Professional experience using advanced SQL to manipulate large data
  • Advanced knowledge of dbt
  • In-depth understanding of big data technologies and architectures, capable of architectural decisions
  • Ability to spot opportunities to automate repetitive tasks
  • Experience iterating & refactoring existing code as well as writing new code
  • A great communicator, comfortable working directly with technical and non-technical stakeholders
  • Experience in modelling within a BI tool (Looker, Tableau, 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


  • Our Ways of Working: We come into the office between 2-4 days a week and we're always in on Tuesdays and Thursdays. We strongly believe that in-person collaboration and time spent together as a team allows us to deliver high impact work, but the flexibility to also work remotely supports our diverse team.
  • 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 color 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.


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