Burberry Data Analyst, Data Product

Employment
Full-Time
Seniority
Entry-Level
Posted
Sep 15, 2026

About Burberry

Burberry Limited, a quintessentially British luxury fashion house, is renowned for its innovative designs and commitment to quality. As part of the global luxury conglomerate, Burberry offers a dynamic and inclusive work environment where creativity and excellence are at the forefront. The company is dedicated to fostering a culture that encourages diversity and sustainability, making it a leader in the luxury industry.

Burberry Data Analyst, Data Product role in London, UK. Join the Data & Analytics team to develop data products for internal stakeholders.

Role & Responsibilities

  • Analyze business requirements and translate them into clear, well-structured data product features and improvements, working closely with the Data Product team
  • Explore, profile, and quality-check data to identify trends, gaps, and opportunities that inform ongoing development of data products across the business
  • Prototype, test, and iterate analysis, reports, and data views that support data product design and evolution
  • Develop into a go-to contact for data-related queries relating to the Data Product roadmap, supporting stakeholders in interpreting and using data products effectively
  • Support creation and maintenance of documentation covering data structures, definitions, and assets, ensuring clarity and consistency for end users

Qualifications

  • Bachelor's degree or above in a mathematical or problem-solving field (Engineering, Mathematics, Economics, Computer Science, or related discipline)
  • Hands-on experience with SQL
  • Natural problem solver with ability to work collaboratively and adaptively across teams
  • Rapid learning capability and ability to develop technical and analytical skills to support varied stakeholder groups
  • Excellent written and verbal communication skills with ability to translate data into clear insight for non-technical audiences

Skills

SQL Python Looker Tableau Data architecture Semantic layer concepts Problem-solving Data profiling Documentation

Experience

Candidates should demonstrate examples of problem-solving and the use of data to solve problems from either academic or work experience settings. Experience with analytical tools or languages such as Python, Looker, or Tableau is highly valued, as is basic knowledge of data architecture and semantic layer concepts.

Education

Bachelor's degree or above in a mathematical or problem-solving field, such as Engineering, Mathematics, Economics, Computer Science, or a related discipline.

Workplace

This position is based in London, England, UK.

Culture

Burberry fosters a creative and inclusive workplace culture that values diversity and sustainability. The company is committed to being a force for good, driving industry change and championing community engagement.

About Cerulean

Cerulean is the definitive career portal for the global luxury industry. We match exceptional professionals with exclusive opportunities at the world's most prestigious brands. From haute couture and fine watchmaking to prestige beauty, hospitality, and boutique retail, Cerulean centralises luxury employment to help you find the career for which you were destined.

Frequently Asked Questions

A.

The luxury industry is characterised by a diverse and nuanced nomenclature. Esteemed houses frequently employ proprietary terminology, and even within a single organisation like Burberry, titles may vary across global markets to reflect local conventions. To ensure absolute clarity, Cerulean assigns a standardised, industry-coherent canonical title to every listing. However, it is worth noting that this role is functionally synonymous with «Data Product Analyst», «Product Data Specialist», «Analytics Product Developer», «Data Insights Analyst», and other variations. Our sophisticated search architecture anticipates these variations, ensuring that inquiries using related terms will seamlessly yield the exact roles you desire.

Burberry

Burberry Data Analyst, Data Product

London, UK

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