Posted: 10 June
The role
Job Description 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
