Senior Ecommerce User Behavior Analyst – Insights

YOOX S.p.A.; Greater London; Hybrid; GBP 48,000 - 70,000; Full time

Benefits offered by this job

25 days holiday

Private medical & dental

Matched pension

Flexible working

Staff discounts

Life assurance

Job summary

NET-A-PORTER is seeking a User Behaviour Analyst to join our London team. You will analyse end-to-end journeys, segment high-value cohorts, and examine how content and campaigns drive engagement and conversion across PDPs, wishlists, and carts.

You will partner with Trading and Brand teams to translate behavioural insights into merchandising and UX recommendations, leveraging tools like GA4, Contentsquare, Databricks and BigQuery. Flexible working is offered in this role.

Qualifications

• Strong analytical mindset with experience interpreting digital behaviour in ecommerce.
• Ability to translate data into commercially relevant insights for non-technical stakeholders.
• Comfortable working with large datasets and multiple data sources.
• Understanding digital funnel analysis and onsite engagement metrics.
• Experience with analytics/behaviour tools such as GA4, Contentsquare, Databricks or similar.

Responsibilities

• Analyse end-to-end journeys and patterns in product discovery, content and purchase paths.
• Segment behaviour for LTV modelling, new visitors, first-time buyers, and product adjacencies.
• Analyse cross-channel traffic and how acquisition sources influence engagement and conversion.
• Track multi-session journeys to understand progression from discovery to purchase.
• Identify product affinity and co-view patterns across brands and categories.
• Partner with Trading, User Journey and Brand teams to inform merchandising and UX changes.

Skills

Analytical mindset

Data storytelling

Stakeholder communication

Funnel analysis

Curiosity about user behaviour

Tools

GA4

Contentsquare

Databricks

Snowplow

BigQuery

Job description

NET-A-PORTER is seeking a User Behaviour Analyst to join our London team. You will analyse end-to-end journeys, segment high-value cohorts, and examine how content and campaigns drive engagement and conversion across PDPs, wishlists, and carts.

You will partner with Trading and Brand teams to translate behavioural insights into merchandising and UX recommendations, leveraging tools like GA4, Contentsquare, Databricks and BigQuery. Flexible working is offered in this role.