User Behaviour Analyst (Digital) @NET-A-PORTER

NET-A-PORTER; Greater London; On-site; GBP 45,000 - 70,000; Full time

Benefits offered by this job

25 days holiday per annum (plus UKbank

Private medical and dental cover

Life assurance cover

Job summary

NET-A-PORTER in London is seeking a User Behaviour Analyst to interrogate end-to-end shopper journeys, translate data into actionable insights and support ecommerce optimisation. You will analyse cross-channel traffic, segment audiences, track repeat behaviours and collaborate with Trading, User Journey and Brand teams to drive merchandising, content and UX decisions.

Experience with GA4, Contentsquare, Databricks, Snowplow or BigQuery is preferred.

Qualifications

• Strong analytical mindset and ability to translate data into business insights.
• Experience interpreting digital behaviour and customer journeys in ecommerce.
• Able to present findings clearly to non-technical stakeholders.
• Familiarity with analytics tools and data sources.

Responsibilities

• 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

Skills

Analytical mindset

Customer journeys

Data storytelling

Cross-functional collaboration

Tools

GA4

Contentsquare

Databricks

Snowplow

BigQuery

Job description

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
• Life assurance cover

LuxExperience is an equal opportunities employer, we encourage people with a diverse range of backgrounds to apply. We recognize and celebrate the benefits that diversity brings to our workplace, our business and our customers. We welcome and will consider all applications regardless of race and nationality, religion, color, sex, pregnancy or related medical conditions, parental status, sexual orientation, gender identity, gender expression, age, status as an individual with a disability, or any other legally protected characteristics.

If you require any reasonable adjustments to complete your application, please do not hesitate to advise us accordingly.