We’re looking for a Digital Analytics Engineer to help shape how ASOS understands customer behaviour across our digital estate.

This role sits at the heart of digital analytics and experimentation, combining analytics engineering, behavioural data modelling, and close partnership with product and engineering teams. You’ll ensure behavioural data is well designed, observable, and trusted, enabling teams to make confident decisions and run high quality experiments at scale.

What you'll be doing:

• Build and extend core behavioural models in Databricks that describe how customers interact with ASOS across web and app
• Design and maintain:
  • Session logic
  • Funnels and journeys
  • Attribution logic
  • Feature usage and engagement metrics
  • Experiment exposure and variant datasets
• Create domain specific behavioural marts optimised for analytics and experimentation use cases

We will be interviewing for this role as suitable applications are received and may close this role before the closing date upon a successful candidate being appointed.

• Experience in analytics engineering, data engineering, or product analytics
• Strong SQL and experience working in Databricks, Spark, DBT and Python
• Solid understanding of behavioural and event based data modelling
• Hands‑on experience with product analytics platforms (for example, Mixpanel, Adobe or similar)
• Experience building reliable data pipelines and quality controls
• Comfortable working closely with software engineers within product teams on data instrumentation
• A pragmatic, detail oriented approach to data quality