Founded in 1856 by Thomas Burberry, Burberry is a global luxury brand with a distinctly British attitude. We are a global business with an extensive network of both owned and franchised stores across EMEIA, Asia Pacific and Americas. We are digital pioneers, and innovative technology underpins every aspect of our business, from product design to distribution and marketing. We believe that modern luxury means being socially and environmentally responsible; this mindset is core to our business and key to our long-term success.

Burberry is making a major investment in expanding our data and analytics capability. Over the last few years, we’ve created a global omni-channel single-customer view, built an outstanding analytics platform and developed a small but highly effective digital analytics and data science team. We’ve built a great capability in the digital part of our business and we’re now ready to build on these foundations to make a quantum leap forward in the sophistication and breadth of data-inspired decision-making across the whole of Burberry. The fashion industry hasn’t historically been at the forefront of data and analytics innovation but, at Burberry, we aim to change this…

You’ll be joining a team with a hugely ambitious, well-funded and exciting roadmap in a role with great scope to shape our data strategy. You’ll be joining at the start of the next stage on our journey, so you’ll have the opportunity to influence our plans as well as deliver them. You’ll be implementing and using the most modern tools in the market with limited/no legacy technology and tools holding you back. You’ll have a rare opportunity to apply analytics and data science in a creatively-driven business – combining art and science to create beautiful things. You’ll be joining a team that is already using advanced techniques like deep learning, machine vision and AI to drive real value for our business. You’ll be working for an organisation that is optimistic, positive, tolerant and respectful but also audacious, ambitious and driven. You’ll be working with and supported by an amazing Data Technology function that is a true partner in delivering our strategy. You’ll find yourself a team that is passionate about, and invests heavily in, training and development. And finally, you’ll be working on a global scale but in a company small enough that everyone can have their voice heard and make a difference.
 
Does that sound exciting? If so, we’re recruiting a large number of roles and this is one of them …
 
 

•Voice of Customer: You’ll be responsible for designing and executing survey-led data collection focused on the digital and physical customer experience. Analysing feedback through a mixture of bespoke tools and standard analysis techniques using Python and SQL
•Customer Journeys: Taking a customer perspective you will use the tools available to identify and analyse key customer journeys through the Burberry omni-channel touchpoints
•NPS: You will champion the interpretation and application of NPS surveys and their value across Digital stakeholder teams
•Insight Delivery: You’ll be directly responsible for extracting, manipulating and crucially interpreting the wealth of information available to inform the business on key customer journeys
•Subject Matter Expertise: In order to be successful, you must be experienced with survey, qualitative or unstructured data analysis including sample size and significance
•Self-Development: You’ll be responsible for staying up to date with industry trends and developments across eCommerce, marketing & digital
•Delivery Management: Value-led prioritisation of your work and ensuring excellence in day-to-day operational and project delivery
•Stakeholder Management: You’ll proactively share key insights and trends on a regular basis with the immediate and wider teams
 

A successful candidate will have:
 
•Influencing Skills: You’ll have the ability to influence, engage with, and respond to stakeholders with credibility and impact
•Creativity: You’ll be an ideas person - you will be a creative thinker, have a hunger for novelty and newness with a keen interest in merging technology and innovating
•Collaboration Skills: You’re able to work collaboratively with others – understanding, respecting and leveraging different perspectives, skills and objectives to make the whole greater than the sum of its parts
•Time Management: You’ll be able to prioritise and communicate to stakeholders what you’re delivering and when, reliably and independently
•Self-Motivation: You will be driven to learn about and understand the business and, within your area of influence, the impact your work could have to its continued success
•Value Focus: You’re relentlessly focussed on value delivery and, taking an evidence-led approach, will always focus on the commercial value that your work can deliver
•Communication: You’ll invest in making sure that the work you do can be leveraged by as wide a set of stakeholders as possible and will proactively create and seek opportunities to share your work as widely as possible
•Curiosity & Empathy: You love to learn, and this curiosity will lead you to a deep understanding of and empathy for the business & customer and of the objectives and needs of your stakeholders
 
Required experience and education:
 
•Bachelor’s degree or above in a quantitative, scientific or engineering discipline
•Hands-on experience in the Adobe or Google Analytics suites would be highly valued, as would strong SQL/Python skills and experience in using Databricks, Dataiku, BigQuery and ContentSquare.
• Strong analytical experience – hands-on experience in techniques like forecasting, media mix modelling/optimisation, attribution modelling, personalisation algorithms or customer clustering/segmentation and customer journey analytics
•Experience with survey design, deployment and analysis or associated disciplines like Principal Component Analysis, Key Driver Analysis, Conjoint Analysis.
•Experience in delivering a deep dive investigation on a complex/important topic – problem solving and working both independently and as part of a team to interpret and identify the key elements to be shared and communicated
• Good working knowledge of web, digital and emerging technologies – including media and ad tech platforms from the major players (including, ideally, China)
•Strong communication and written skills that combines a keen eye for detail with the ability to tell the bigger story