Senior BI Analyst

Department:  DIGITAL
City:  London
Location:  GB


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 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.


Does that sound exciting? If so, we’re recruiting a large number of roles and this is one of them …


We are recruiting a Data Developer to join our expanding team.


The Data Developer will have the following key responsibilities:


  • Tagging Implementation & Maintenance: You will be experienced with Tag Managers (GTM, Signal) and javascript based tagging and data collection as well as showing experience in website data layers along with the design and maintenance thereof
  • Web Tracking: you will be an expert in website tracking covering technical knowledge of at least one of Google Analytics or Adobe Analytics. This includes the configuration and maintenance of the tool. Additionally, experience with the equivalent for Apps would be highly valued
  • Upskilling: You will be expected to ensure the steep learning curve is met with proactive learning on front-end (javascript, tag management) and back-end (Database structures, SQL modelling, Databricks/BigQuery) in order to be fully capable in this role
  • Data Products: You should have experience working in or collaborating with agile Product Delivery teams in either a digital product or data engineering capacity
  • Technical Skills: An introductory full-stack skillset would be ideal. You will be comfortable using SQL, Javascript and/or Python and have experience ideally in DataBricks, Cloudera or BigQuery. Additional languages would be an advantage
  • Data Modelling: You will work with business and analytics teams to review requirements and ensure the most effective delivery of stable, scalable and reliable data models, primarily covering clickstream data
  • 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.


Essential experience, skills, behaviour and education:

  • Bachelor’s degree or above in a mathematical, statistical, scientific or engineering discipline.
  • Hands-on programming experience in SQL.
  • Experience of Javascript based tagging.
  • Hands-on experience in the Adobe or Google Analytics suites.
  • Experience of mapping source data, creating data pipelines, and defining business rules and reporting requirements to support business units with the onboarding of new data.
  • Experience of developing tools for visualisation, storytelling and reporting.
  • Experience of implementing robust methodologies to ensure high data quality, including technical documentation.
  • Ability to gather and understand requirements from stakeholders and translate them into deliverables.
  • Ability to identify opportunities to optimise data processing, automation and interpretation.
  • Focus on commercial value of the delivered work.
  • Strong communication skills across all levels.

Desirable experience:

  • Tag Managers (GTM, Signal).
  • Implementation of Google or Adobe Analytics.
  • Snowplow.
  • Working with Agile Product Delivery teams in either a digital product or data engineering capacity.
  • Coding in Python.


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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