Digital Analytics Engineer

What You’ll 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 
  • Pre‑release validation 
  • Experiment tagging and exposure tracking 
• Act as a go to expert for behavioural tracking best practices 

We’re 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 
• 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 

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

• 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, it's 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