обновлено 2 дня назад
Digital Analytics Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Digital Analytics Engineer (Databricks/SQL): Building behavioural models, analytics marts, event pipelines, and semantic models that describe customer interactions across ASOS web and app with an accent on experimentation, data quality, and trusted metrics. Focus on designing event contracts, implementing end-to-end observability, resolving identity and tracking issues, and enabling self-serve and agent-based analytics.
Location: London, United Kingdom. The role is associated with 's London HQ.
Company
is an ecommerce fashion company focused on technology, innovation, and digital customer experience.
What you will do
- Build and extend behavioural models in Databricks covering sessions, funnels, customer journeys, attribution, feature engagement, and experiment exposure.
- Create domain-specific behavioural marts for analytics and experimentation use cases.
- Own the quality and consistency of behavioural events flowing from web and app products into analytics platforms.
- Build and maintain transformation pipelines, event contracts, schemas, and naming conventions.
- Implement end-to-end data quality checks and observability across frontend, ingestion, analytics, and Databricks.
- Enable trusted metrics through Databricks metric-enabled views and Power BI semantic models, while partnering with product analysts and engineers.
Requirements
- Experience in analytics engineering, data engineering, or product analytics.
- Strong SQL skills and experience with Databricks, Spark, dbt, and Python.
- Solid understanding of behavioural and event-based data modelling.
- Hands-on experience with product analytics platforms such as Mixpanel or Adobe.
- Experience building reliable data pipelines and data quality controls.
- Ability to work closely with software engineers on frontend and app instrumentation.
Nice to have
- Experience supporting experimentation and A/B testing.
- Knowledge of identity resolution and cross-device tracking.
- Power BI semantic modelling and self-serve analytics experience.
- Interest in AI-assisted analytics or metric-driven agents.
Culture & Benefits
- Employee discount, sample sales, and a subsidised office canteen and café.
- 25 days of annual leave plus an additional celebratory day.
- Private medical care, pension contributions matched up to 5%, and a discretionary bonus scheme.
- Personalised learning and career development opportunities.
- Summer hours with 3pm finishes on Fridays in June, July, and August.
- Free shuttlebus service between Watford station and the Leavesden office.
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