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ASOS
Digital Analytics EngineerASOS • London, England, UK
Digital Analytics Engineer

Digital Analytics Engineer

ASOS • London, England, UK
30+ days ago
Job type
  • Full-time
Job description

What Youll Be Doing

Behavioural Data Modelling

  • 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

Web Analytics Data Pipeline Ownership

  • Own the quality and consistency of behavioural events flowing into Analytics platforms
  • Ensure events conform to agreed:
    • Schemas and naming conventions
    • Data types and required fields
    • Privacy first compliance
  • Build and maintain transformation pipelines where enrichment or standardisation is required
  • Act as a technical owner of event contracts between frontend teams and analytics

Data Quality & Observability

  • In collaboration with the teams software engineers implement end-to-end data quality checks across frontend ingestion Analytics Databricks
  • Monitor and alert on:
    • Schema changes and validation failures
    • Event completeness and coverage
    • Cardinality drift
    • Volume anomalies
    • Identity and user stitching integrity
  • Proactively identify and resolve issues before they impact experiments or reporting

Semantic Layer Enablement

  • Enable trusted behavioural metrics through:
    • Databricks metric enabled views
    • Power BI semantic models
  • Ensure metrics are usable for:
    • Self serve analysis
    • Executive and leadership reporting
    • Talk to Data and agent based workflows
  • Partner with product analysts data and product teams to ensure metrics are clear consistent and reusable

Frontend Instrumentation Alignment

  • Work closely with web and app engineers to ensure instrumentation meets analytics and experimentation needs
  • Support:
    • Event payload and schema design
    • Instrumentation PR reviews
    • Prerelease validation
    • Experiment tagging and exposure tracking
  • Act as a go to expert for behavioural tracking best practices

Qualifications :

Were Looking For

Core Skills & Experience

  • 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
  • Handson 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

Nice to Have

  • Experience supporting experimentation and A/B testing
  • Knowledge of identity resolution and cross device tracking
  • Power BI semantic modelling experience
  • Experience enabling self serve analytics
  • Interest in AI assisted analytics or metric driven agents


Additional Information :

  • Employee discount (hello ASOS discount!)
  • Employee sample sales
  • 25 days paid annual leave an extra celebration day for a special moment
  • Private medical care scheme
  • Fixed Annual Payment in addition to your salary each year its just an extra thank you from us
  • Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role


Remote Work :

No


Employment Type :

Full-time


Experience: years
Vacancy: 1
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Digital Analytics Engineer • London, England, UK

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