At a Glance
- Tasks: Lead site optimisation efforts to enhance user experience and drive conversions.
- Company: Join NET-A-PORTER, the luxury fashion destination revolutionising online shopping.
- Benefits: Enjoy 25 days holiday, private medical cover, flexible working, and staff discounts.
- Other info: Diverse workplace with excellent career growth opportunities.
- Why this job: Make a real impact on luxury e-commerce through innovative optimisation strategies.
- Qualifications: Strong analytical skills and experience in experimentation practices required.
The predicted salary is between 55000 - 65000 £ 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.
We are seeking an Optimisation Lead to join the Site Analytics team, supporting both NET-A-PORTER.COM and MR PORTER. Reporting into the Head of Site Analytics & Optimisation, this role will be responsible for identifying and validating opportunities to improve onsite performance through optimisation priorities, experimentation and AI-driven site capabilities. This role will translate behavioural and commercial insight into opportunities across search, rankings and models of PLPs and recommendations, and site features. This includes shaping a more structured experimentation approach over time, while also using impact analysis to evaluate feature changes, migrations and cutover risk.
Here is a breakdown of what you’ll be doing:
- Identify and prioritise optimisation opportunities across NET-A-PORTER and MR PORTER, focusing on changes most likely to improve conversion, engagement, discovery and customer value.
- Build a structured experimentation and optimisation framework for the sites and apps, introducing clear standards for hypothesis setting, success metrics, measurement and learning over time.
- Translate behavioural, trading and customer insights into testable hypotheses, optimisation recommendations and requirements for new features or functionality.
- Evaluate the impact of site changes, feature launches and migration cutovers, using structured analysis to isolate gains, losses and unintended customer impacts.
- Support the development of an experimentation programme over time, identifying where A/B testing is appropriate and where opportunities can be validated through alternative forms of impact analysis.
- Use Google Vertex and related tools to support ranking, recommendation and search optimisation, including model configuration, training inputs and performance evaluation.
- Partner with Trading teams to refine ranking strategies, product visibility and onsite discovery based on customer behaviour, commercial priorities and performance signals.
- Work closely with User Behaviour Analysts to turn journey and product interaction insight into structured optimisation opportunities across the site experience.
The Type Of Person We Are Looking For:
- Strong commercial and analytical mindset, able to connect customer behaviour, optimisation opportunities and business outcomes.
- Experienced in building or scaling experimentation practices, with a strong understanding of test design, segmentation, measurement and statistical rigour.
- Strong understanding of search, recommendations, ranking logic, with curiosity about how AI capabilities can improve customer experience and performance.
- Naturally curious, with a passion for solving problems, simplifying complexity and identifying where small changes can drive meaningful commercial impact.
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.
Site Optimisation Lead @NET-A-PORTER 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 Site Optimisation Lead @NET-A-PORTER
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We think you need these skills to ace Site Optimisation Lead @NET-A-PORTER
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!
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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!
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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.
