Senior Analytics Engineer

  • London
  • Full time
  • hybrid
  • UK Cards Team

About the role

As a Senior Analytics Engineer in the Credit Card team, you will be responsible for the ETL pipelines that power the lending strategies of our award-winning credit card. Collaborating closely with our credit and fraud analysts, you will own the data architecture we use to generate customer insight and keep scaling our highly successful business.

What you'll be doing

  • Designing sophisticated data models that generate actionable insights for our credit card portfolio.
  • Developing a robust, precise, and scalable data platform as we create one of the UK’s biggest credit cards. 
  • Increasing our analytical efficiency by improving access to Cards' data around the business
  • Helping us improve and maintain the automated financial reporting on our Cards portfolio, gaining exposure to executives in our Capital Markets function.
  • What you need to succeed

  • You are motivated to work in a fast-paced scale-up experience
  • You have a strong attention to detail and the ability to work with large and complex datasets
  • You have experience working on data projects at scale and understand best practices for building and maintaining complex ETL pipelines
  • You are eager to learn the fundamentals of how our credit card product works, mastering the terminology used by our analysts and contributing to team planning
  • Your profile

  • Minimum of 3 years of experience as an Analytics Engineer or similar role, preferably in the financial services or consumer credit industry
  • Strong understanding of ETL processes and experience with data warehousing concepts and architecture
  • Experience working with DBT and Snowflake is highly desirable
  • Advanced SQL skills for data manipulation and analysis
  • Excellent communication skills to effectively convey complex information to both technical and non-technical stakeholders
  • Ability to work independently and collaboratively in a fast-paced, agile environment
  • Proficiency with Git version control system.
  • Interview process

  • Stage 1 quick phone call with someone in our Talent team (30 mins)
  • Stage 2 take-home SQL test (2 hours timed)
  • Stage 3 peer interviews to assess technical skills and business insight
  • Stage 4 final interview with our CTPO