Overview

INTRODUCTION

At Burberry, we believe creativity opens spaces. Our purpose is to unlock the power of imagination to push boundaries and open new possibilities for our people, our customers and our communities. This is the core belief that has guided Burberry since it was founded in 1856 and is central to how we operate as a company today.   

We aim to provide an environment for creative minds from different backgrounds to thrive, bringing a wide range of skills and experiences to everything we do. As a purposeful, values-driven brand, we are committed to being a force for good in the world as well, creating the next generation of sustainable luxury for customers, driving industry change and championing our communities. 

JOB PURPOSE

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 rapidly growing team with a hugely ambitious, well-funded and exciting roadmap in a role with great scope to shape our data strategy. You’ll join us 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 be part of 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.

RESPONSIBILITIES

  • Mission Specialist: You will set a high bar and/or elevate the analytical approach used in support of stakeholder delivery. You will use your experience and technical competencies to partner with other analysts and data teams in delivering insight

  • (Applied) Statistical Expert: You will be an expert in the application of statistical techniques, you will challenge existing methodology and/or evolve projects by establishing and embedding more advanced statistical and analytical techniques in uncovering and delivering business benefit

  • Upskilling and Adoption: As an experienced analyst and with a high level of analytical expertise you will be expected to ensure robust handover (upskilling) as necessary within the team to ensure ongoing stability and success once reaching the appropriate milestones.

  • Stakeholder Management: You’ll proactively spend time with key stakeholders to understand their needs and the application of insight within their teams

  • Insight Delivery: You’ll be directly responsible for extracting, manipulating, analysing and, crucially, interpreting our data to support your stakeholders, allowing them to make decisions from a position of knowledge

  • Rapid Insight: You’ll be responsible for supporting fast-paced project development covering prototyping, capability building and rapid project development. You will be expected to become an expert in our chosen tools and languages in order to meet these responsibilities

  • Self-Development: You’ll be responsible for staying up to date with industry trends and developments across e-commerce, marketing & digital as well as ongoing development of your already strong technical skills

PERSONAL PROFILE

Skills

  • Influencing Skills: You have the ability to influence, engage with, and respond to senior stakeholders with credibility and impact
  • Creativity: You are an ideas person – you are a creative thinker, have a hunger for novelty and newness with a keen interest in merging technology and innovation
  • Collaboration Skills: You are 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
  • Project Management: You are able take business requirements, understand and translate them into deliverables. You prioritise and communicate to stakeholders what you’re delivering and when, reliably and independently
  • Self-Motivation: You are 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 are 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 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

 

Experience

  • Bachelor’s degree or above in a mathematical, statistical, scientific or engineering discipline
  • Experience in a highly relevant analytical role in a digital or retail environment
  • Strong technical skills including hands-on programming experience in SQL, equivalent to the syllabus described here: https://www.coursera.org/learn/data-wrangling-analysis-abtesting
  • Confident and experienced in managing multiple stakeholders independently and making decisions based on priority
  • Strong analytical experience – hands-on experience in at least some of the following areas: forecasting, media mix modelling/optimisation, attribution modelling, customer clustering/segmentation, customer journey analytics, voice of customer, propensity scoring, testing & uplift/incrementality
  • 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
  • Hands-on experience with either Adobe Analytics or Google Analytics suites would be required along with a solid understanding of data they contain, strengths and weaknesses of the tool(s)
    • Any practical experience with Firebase or app analytics would be highly valued
  • Additionally, practical experience in 1 or several of the below should be considered a required skill:
    • any practical experience in Python
    • professional experience with a data platform such as DataBricks, Google BigQuery or similar
    • any practical experience with Tableau, Looker, PowerBI or other enterprise level BI and visualisation tool
    • Qualtrics or similar voice of customer and survey tool
  • You’ll have very strong communication and written skills that combines a keen eye for detail with the ability to tell the bigger story
     

FOOTER

Burberry is an Equal Opportunities Employer and as such, treats all applications equally and recruits purely on the basis of skills and experience.

 

Posting Notes: United Kingdom || Not Applicable || London || DIGITAL || NO DEPARTMENT – FDST9009 || n/a ||

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