At a Glance
- Tasks: Analyse customer journeys and uncover insights to enhance shopping experiences.
- Company: Join NET-A-PORTER, the leading luxury fashion destination for women.
- Benefits: Enjoy 25 days holiday, private medical cover, and life assurance.
- Other info: Diverse workplace with opportunities for personal and professional growth.
- Why this job: Make a real impact on how customers shop luxury fashion online.
- Qualifications: Strong analytical skills and experience in ecommerce behaviour analysis.
The predicted salary is between 45000 - 55000 £ per year.
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 recognise 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, colour, 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.
User Behaviour Analyst employer: NET-A-PORTER
NET-A-PORTER is an exceptional employer, offering a dynamic work culture that values collaboration and excellence in customer service. Located in Charlton, London, this role not only provides a hybrid working environment but also fosters professional growth through training and development opportunities, making it an ideal place for those passionate about luxury sales and customer care.
StudySmarter Expert Advice🤫
We think this is how you could land User Behaviour Analyst
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like NET-A-PORTER!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like User Behaviour Analyst at NET-A-PORTER.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like NET-A-PORTER.
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We think you need these skills to ace User Behaviour Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at NET-A-PORTER, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at NET-A-PORTER. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at NET-A-PORTER
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at NET-A-PORTER!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
