Data Analyst

Department: Strategy & Data & Analytics

City: London

Location: GB

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:

We are looking for a high-potential candidate to join the Decision Analytics team, a part of the wider Data & Analytics team. We are an award-winning team (DataIQ Awards 2023, 2024 & 2025) and work as an enterprise function, providing analytical support across many business areas including: commercial, customer, merchandising, marketing and platform.

You’ll make the most of a modern, well-supported data stack, utilising leading technology in the field – Databricks, Looker, and Snowplow. You’ll find yourself in a team that delivers tangible analytical value to the business and is passionate about training and development. 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.

We are recruiting a Data Analyst to join us.

Responsibilities:

Customer & Commercial Analytics: analyse customer behaviour, journeys, and commercial performance to identify opportunities and explain changes in business performance.
Insight Delivery: you’ll be directly responsible for extracting, manipulating and interpreting the wealth of information available to elevate your stakeholders beyond BAU reporting, allowing them to make decisions from a position of knowledge.
Marketing: extend your knowledge of online & offline marketing to analyse campaigns, customer touchpoints and behaviour; understanding how different channels influence commercial trade.
Clickstream: become an expert in clickstream and behavioural data, so you can support our main stakeholders in understanding our digital journey and its value to the business.
Subject Matter Expertise: you must be experienced with analytical methods, utilising and further developing knowledge of techniques such as cohort analysis, customer segmentation, experimentation, applying appropriate approaches with support from the wider team.
Delivery Management: value-led prioritisation of your work and ensuring excellence in day-to-day operational and project delivery.
Stakeholder Collaboration: work with stakeholders to understand their challenges, share insights confidently and progressively take ownership of analytical work.

Personal Profile:

Analytical curiosity and problem-solving: able to explore data, ask the right questions and break ambiguous problems into clear analytical steps.
Strong communication and influencing skills: able to explain insights clearly to non-technical stakeholders and tailor recommendations to the audience.
Collaborative working style: confident working with others, building credibility with stakeholders and valuing different perspectives.
Creative and commercial thinking: brings new ideas, shows interest in technology and focuses on delivering meaningful business value.
Ownership and prioritisation: able to manage time effectively, work independently and communicate delivery timelines clearly.
Growth mindset: motivated to keep developing technical, commercial and business knowledge, including new tools and analytical approaches.

Required Experience:

Bachelor’s degree or equivalent experience in a quantitative, scientific, engineering or related discipline.
Strong SQL or data querying skills, with hands-on experience querying, manipulating and validating datasets.
Strong analytical and problem-solving foundations, with the ability to investigate questions, identify patterns and draw evidence-based conclusions.
Experience delivering data-led analysis or deep-dive investigations on complex topics, working independently and collaboratively to shape clear recommendations.
Clear written and verbal communication skills, with the ability to explain analytical findings to non-technical audiences.
Experience with BI or data visualisation tools such as Looker, Tableau or Power BI is beneficial.
Exposure to clickstream data, segmentation, cohort analysis, experimentation, forecasting, statistical analysis, commerce, digital or marketing technology is advantageous but not essential.

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