NET-A-PORTER is the leading luxury fashion destination for women. The first digital platform of its kind, NET-A-PORTER has revolutionised the way women shop, delivering fashion, fine jewelry & watches and lifestyle collections to the world’s most discerning women.

Today, NET-A-PORTER continues to own discovery, inspiration, exceptional curation, customer experience and engaging storytelling. NET-A-PORTER creates exclusive, personalised experiences for its EIPs (Extremely Important People), with dedicated Personal Shoppers and invitation-only moments. PORTER, the editorial voice of NET-A-PORTER, entertains and inspires women through daily content, and tells the stories of incredible women across the globe.

NET-A-PORTER is part of LuxExperience, the leading digital, multi-brand luxury group.

To support our Site Analytics & Optimisation team we are searching for a User Behaviour Analyst (f/m/d) to be based in our London office. 

WHAT YOU WILL DO

• Analyse end-to-end journeys, identifying patterns in how customers move through key product discovery, editorial content and purchase pathways 

• Segment behaviour to complement LTV modelling including high value cohorts, new visitors, first time buyers, as well as product category or brand adjacencies 

• Analyse cross-channel traffic behaviour across paid, organic, search and CRM journeys, understanding how acquisition source influences onsite engagement and conversion 

• Track repeat behaviour and multi-session journeys to better understand how customers move from discovery to purchase over time 

• Analyse product interaction behaviour across PDP engagement, wishlist, basket, saves and other onsite signals to identify how customers evaluate and progress products 

• Identify product affinity and co-view patterns, including what customers browse, save and purchase together across brands, categories and product types 

• Understand differences in behaviour between browsing customers and high-intent converters, identifying the signals that indicate purchase intent and customer value 

• Partner with Trading teams for behavioural insights that inform merchandising decisions, product presentation and onsite recommendations, while partnering with User Journey and Brand teams to deepen understanding of how content, campaigns and UX changes influence behaviour

​​WHO YOU ARE

• Strong analytical mindset with experience interpreting digital behaviour and customer journeys within an ecommerce environment

• Deep curiosity about how customers browse, engage and shop, with the ability to spot patterns, friction points and opportunities within complex behavioural data

• Able to translate data into clear, commercially relevant insight and recommendations for non-technical stakeholders

• Comfortable working across large datasets and multiple behavioural data sources to build a complete picture of customer intent and journey performance

• Strong understanding of digital funnel analysis, onsite engagement metrics and behavioural segmentation

• Confident communicator, able to present findings clearly and influence cross-functional stakeholders through evidence-led storytelling

• Experience working with analytics and behavioural insight tools such as GA4, Contentsquare, Databricks, Snowplow, BigQuery or similar platforms preferred

WHAT WE OFFER

• 25 days holiday per annum (plus UK bank holidays)

• Private medical and dental cover schemes

• Matched contribution pension

• Flexible working

• Staff discounts

• Life assurance cover