Location
London

Hours
Full Time

Salary
Negotiable

About the Role
At Burberry, our people and culture underpin how we deliver for our customers and our brand. We are building a high-performance culture that encourages creativity and collaboration, enabling colleagues to do their best work. Guided by our reimagined purpose, To Embrace the Elements with Open Arms, we bring together diverse perspectives, skills and expertise to create exceptional luxury products and experiences. This purpose informs the standards of behaviour we expect, how we lead and and how we make decisions across the business.

The Analytics Engineer is responsible for delivering enterprise dashboards, operational reports, KPI views and business visualisations. This role translates business requirements and data product definitions into accurate, well-designed and maintainable reporting solutions. It applies strong visual design judgement, sound reporting engineering practices and clear documentation standards to ensure outputs are intuitive, performant, secure and reusable.

The role works across prioritised data demand agreed through Enterprise Data planning, contributing to cross-functional delivery activity where visualisation and reporting expertise is required. It also contributes to reusable reporting components, certified datasets, standard dashboard templates and self-serve analytics foundations, helping business users access trusted data and insight consistently.

Accountable for the design, build, testing support, documentation and maintenance of assigned reports, dashboards and visualisation outputs. Works closely with Data Product Managers, Data Engineers, Data Analysts, Data Governance, Solution Architecture, business stakeholders and third-party delivery partners. Collaborates with Data Engineers and Solution Architects to ensure reporting outputs are built on appropriate data models and certified data sources.

Key responsibilities include designing, building and maintaining enterprise reports and dashboards using platforms such as Tableau and Databricks SQL; translating business requirements into technically robust reporting outputs; developing high-quality visual designs that are intuitive and accessible for non-technical users; implementing KPI calculations and reporting logic; documenting KPI logic, source data and assumptions; applying reporting security and privacy controls; supporting user acceptance testing; optimising dashboard performance; and contributing to reusable reporting assets and templates.

The role supports the rationalisation of duplicated or manual reports by migrating reporting activity onto approved tools and standards, maintaining documentation for report specifications, data lineage, access configurations and operational dependencies.

Experience
Hands-on experience delivering enterprise dashboards, reports and visualisations in a business intelligence, reporting engineering or analytics delivery role. Practical experience with Tableau including dashboard development, calculated fields, level-of-detail expressions, data source management, publishing, permissions and performance optimisation. Experience with SQL and cloud data platforms, ideally including Databricks SQL, Delta Lake or equivalent lakehouse/warehouse technologies. Good understanding of data modelling concepts such as facts, dimensions, joins, aggregations, semantic layers and certified datasets. Experience implementing KPI logic and business metrics across different levels of aggregation. Understanding of reporting security principles including role-based access control, row-level security, data classification and handling of sensitive data. Experience working with data engineers, product managers, analysts, architects and business stakeholders in cross-functional delivery environments. Familiarity with governed data products, certified metrics, data catalogues, business glossaries and data lineage is beneficial.

About you
Strong visual design judgement with the ability to create clear, intuitive and well-structured dashboards for non-technical users. Ability to manage multiple assigned priorities by clarifying deadlines, dependencies and trade-offs while maintaining accuracy, quality and attention to detail. Practical understanding of the reporting lifecycle including requirements capture, build, testing, publishing, documentation, version control and support. Operates effectively in a mid-level engineering role, taking ownership of assigned reporting outputs while working within standards and priorities set by senior leadership.

Qualifications
Relevant qualifications are not explicitly required but a strong technical background in data visualisation, SQL, and cloud data platforms is expected. A positive attitude towards collaboration and continuous learning is essential.