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.150 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 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.