Digital Analytics Engineer — Data & Experimentation Leader

ASOS.com

Greater London

On-site

GBP 70,000 - 95,000

Full time

14 days+

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Benefits offered by this job

Employee discount
Employee sample sales
25 days paid annual leave
Private medical care
Fixed annual payment

Job summary

ASOS.com is seeking a Digital Analytics Engineer to shape how we understand customer behaviour across our digital estate. You’ll combine analytics engineering, behavioural data modelling, and close partnership with product and engineering teams to ensure data is well designed, observable, and trusted.

You will own behavioural data pipelines, data quality, semantic layers, and instrumentation alignment, building models in Databricks and enabling self‑serve analytics for leaders across the

Qualifications

  • Experience in analytics engineering, data engineering, or product analytics.
  • Strong SQL and experience working in Databricks / Spark / DBT / Python.
  • Solid understanding of behavioural and event based data modelling.
  • Hands‑on experience with product analytics platforms (e.g. 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.

Responsibilities

  • 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, journeys, attribution, feature usage metrics and experiment exposure data.
  • Own the quality and consistency of behavioural events flowing into Analytics platforms.
  • Ensure events conform to schemas, naming conventions, data types and privacy requirements.
  • Collaborate on data quality checks across frontend to Databricks and monitor schema changes, coverage and volume.
  • Enable trusted metrics via Databricks views and Power BI semantic models for self‑service analytics.

Skills

Analytics engineering
Data engineering
Product analytics
SQL
Databricks / Spark
Python
Behavioural data modelling
Data pipelines
Data quality

Tools

Databricks
Spark
DBT
Python
Power BI

Job description

ASOS.com is seeking a Digital Analytics Engineer to shape how we understand customer behaviour across our digital estate. You’ll combine analytics engineering, behavioural data modelling, and close partnership with product and engineering teams to ensure data is well designed, observable, and trusted.

You will own behavioural data pipelines, data quality, semantic layers, and instrumentation alignment, building models in Databricks and enabling self‑serve analytics for leaders across the

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