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

Qualifications

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

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, 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