Senior Data Analyst

Job Description

INTRODUCTIONAt 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 wasfounded 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 PURPOSEBurberry is making a major investment in expanding our data and analytics capability. Over the last few years, weve created a global omni-channel single-customer view, built an outstanding analytics platform and developed a small but highly effective digitalanalytics and data science team. Weve built a great capability in the digital part of our business and were now ready to build on these foundations to make a quantum leap forward in the sophistication and breadth of data-inspired decision-making across thewhole of Burberry. The fashion industry hasnt historically been at the forefront of data and analytics innovation but, at Burberry, we aim to change this... Youll 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. Youll join us at the start of the next stage on our journey, so youll have the opportunity to influenceour plans as well as deliver them. Youll be implementing and using the most modern tools in the market with limited/no legacy technology and tools holding you back. Youll have a rare opportunity to apply analytics and data science in a creatively-drivenbusiness - combining art and science to create beautiful things. Youll be joining a team that is already using advanced techniques like deep learning, machine vision and AI to drive real value for our business. Youll be working for an organisation that isoptimistic, positive, tolerant and respectful but also audacious, ambitious and driven. Youll be working with and supported by an amazing Data Technology function that is a true partner in delivering our strategy. Youll be part of a team that is passionateabout, and invests heavily in, training and development. And finally, youll 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 uncoveringand 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 appropriatemilestones.
• Stakeholder Management: Youll proactively spend time with key stakeholders to understand their needs and the application of insight within their teams
• Insight Delivery: Youll 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: Youll 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 theseresponsibilities
• Self-Development: Youll 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 PROFILESkills

• 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 youre 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

Bachelors 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://learn/data-wrangling-analysis-abtesting

Confident and experienced in managing multiple stakeholders independently and making decisions based on priorityStrong analytical experience - hands-on experience in at least some of the following areas: forecasting, media mix modelling/optimisation, attributionmodelling, customer clustering/segmentation, customer journey analytics, voice of customer, propensity scoring, testing