Digital Analytics Engineer

Responsibilities

• Build and extend core behavioural models in Databricks describing customer interactions
• Design and maintain session logic, funnels, attribution logic, and engagement metrics
• Own the quality and consistency of behavioural events flowing into analytics platforms
• Implement end-to-end data quality checks across frontend, ingestion, and Databricks
• Monitor schema changes, event completeness, and volume anomalies
• Enable trusted behavioural metrics through Databricks views and Power BI semantic models
• Partner with web and app engineers to ensure instrumentation meets analytics needs

Requirements

• Experience in analytics engineering, data engineering, or product analytics
• Strong SQL skills
• Experience with Databricks, Spark, DBT, or Python
• Solid understanding of behavioural and event-based data modelling
• Hands-on experience with product analytics platforms like Mixpanel or Adobe
• Experience building reliable data pipelines and quality controls
• Ability to work closely with software engineers on data instrumentation

Preferred Qualifications

• 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

Benefits

• Employee discount
• Employee sample sales
• 25 days paid annual leave plus a celebration day
• Private medical care scheme
• Fixed Annual Payment in addition to salary
• Personalised learning opportunities

About the Company

ASOS is a leading global online fashion retailer looking for experts to help shape how the brand understands customer behaviour across its digital estate.