Senior BI Analyst

London, UK
06 Jun 2020
02 Aug 2020
Farfetch exists for the love of fashion. We believe in empowering individuality. Our mission is to be the global technology platform for luxury fashion, connecting creators, curators and consumers.


We're a diverse team of Marketing professionals, spanning artistic and scientific expertise. We're driven to amaze our global community of customers through our data-driven approach, revolutionary spirit, test and learn culture and collaborative style. All for the love of fashion.


Our London office is located in Old Street, London's tech hub, home to a broad range of teams including Commercial, Marketing, and Product. We have large open plan spaces and a feature staircase connecting our 3 floors, encouraging our collaborative and open culture. We also have a big outdoor terrace where we can have lunch and host social events when the sun comes out!

About the role

We are looking for a unique individual who is talented in creating systematic and automated processes and tools for reporting data and insights across the Farfetch group. You will have a huge impact and take our BI to the best in class system.

You will be a person that thrives in solving complex problems in a fast paced environment balancing tactical needs whilst driving strategically for a long term solution.

What you'll do

  • Take ownership of key data sources that are used across the Farfetch group
  • Ensure strict governance of this data by monitoring performance and driving best practices, for both existing and future developments
  • Be methodical and structured to develop and maintain processes and documentation
  • Leverage your attention to detail to ensure high quality and rigour
  • Ensure that solutions are robust and built for scale
  • Identify gaps and turn them into implementable solutions
  • Drive agile ways of working to ensure continuous progress and iteration
  • work cross-functionally with a range of stakeholders across the business

Who you are

  • You have a BSC in computer science, engineering, information systems or other highly quantitative field
  • You are advanced in SQL
  • You are detail-oriented with a demonstrably high standard for data accuracy and documentation
  • You focus on building for scale and automation
  • You are an expert in manipulating large data sets in a professional environment
  • You are a strong communicator regardless of format (email, documentation, presentation, discussion)
  • You are able to collaborate with both commercial and technical stakeholders (technical product managers, development leads)
  • You have experience with data visualisation tools
  • You have experience leading a Business Intelligence or software engineering team from the ground-up, preferably in a startup role

Tech Stack

  • Kubernetes, Docker and Airflow to schedule and run our services
  • Python to develop microservices and bespoke tooling
  • Snowflake/BigQuery for our data warehouse
  • Databricks to empower our Data Science teams
  • Looker for visualization and self-serve analytics
  • dbt for ETL orchestration
  • Kafka for our asynchronous message queue
  • Terraform for cloud orchestration on GCP / Azure

About the department

Fully aligned to our Marketing, Product, Private Client and Customer Insight verticals, the Reporting Solutions team is part of a vision to build a highly autonomous and empowered central data function that moves fast to rapidly deliver impact on some of our most challenging and high visibility projects.

To achieve this we are building a full stack of capabilities, from managing our own infrastructure, creating data pipelines, to rolling out bespoke data products, all with the goal of unlocking significant value across a wide variety of initiatives.

Working collaboratively as a team and with our business colleagues, both here in London and across our other locations, you'll be shaping the technical direction of a critically important part of Farfetch.

This is the ultimate role for the detail-orientated engineer!

Your opportunities to develop range from working directly with data engineers to grow technically, as well as working alongside stakeholders across the group to grow commercially.

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