Digital Analytics Engineer - Experiments & Data Quality

ASOS.com; Greater London; On-site; GBP 70,000 - 100,000; Full time

Benefits offered by this job

ASOS employee discount

Employee sample sales

25 days annual leave + extra day

Private medical care

Fixed annual payment

Learning & development

Job summary

ASOS is seeking a Digital Analytics Engineer to shape how we understand customer behaviour across our digital estate. You will model behavioural data, own event quality, and partner closely with product and engineering to enable high quality experiments at scale.

You will build data pipelines, maintain instrumentation, and contribute to semantic data models used for executive reporting and self-serve analytics.

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

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 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.
• Own the quality and consistency of behavioural events flowing into Analytics platforms.
• Build and maintain transformation pipelines where enrichment or standardisation is required.
• Act as a technical owner of event contracts between frontend teams and analytics.
• Collaborate with product analysts and engineers to ensure metrics are clear, reusable, and accurate.
• Enable trusted behavioural metrics through Databricks metric-enabled views and Power BI semantic models.

Skills

Analytics engineering

SQL

Databricks

Python

DBT

Data modelling

Product analytics

Data pipelines

Data quality checks

Instrumentation

Tools

Mixpanel

Adobe Analytics

Power BI

Job description

ASOS is seeking a Digital Analytics Engineer to shape how we understand customer behaviour across our digital estate. You will model behavioural data, own event quality, and partner closely with product and engineering to enable high quality experiments at scale.

You will build data pipelines, maintain instrumentation, and contribute to semantic data models used for executive reporting and self-serve analytics.