Analytics Engineer

In this Analytics Engineer role, you design, build and maintain enterprise dashboards, reports, and visualisations to deliver trusted data insights. You translate business needs into robust reporting solutions and contribute to reusable assets and self-serve analytics foundations. You’ll work with cross-functional teams to ensure outputs are accurate, performant, and secure, aligning with Burberry’s high‑performance, collaborative culture. This role offers impact by enabling data-driven decisions at scale.

• Design, build and maintain enterprise reports, dashboards and visualisations on approved platforms (Tableau, Databricks SQL)
• Translate business requirements into robust, maintainable reporting outputs
• Develop high‑quality visual designs for intuitive dashboards for non-technical users
• Implement KPI calculations and reusable metrics across aggregation levels
• Document KPI logic, data sources, assumptions and limitations for maintainability
• Collaborate with Data Product Managers, Data Engineers and Solution Architects on data models and data sources
• Apply reporting security controls (RBAC, row-level security) and data privacy considerations
• Support user acceptance testing, validate calculations and address prioritized feedback
• Optimize dashboard performance and data loading times
• Contribute to reusable assets, templates, certified datasets and self‑serve components
• Maintain documentation for report specifications, data lineage and support requirements
• Assist in rationalising duplicated or ungov... (truncated)
• Support cross-functional delivery and governance through standard reporting practices

• Hands-on experience delivering enterprise dashboards and visualisations in BI/analytics delivery roles
• Experience in mid-level engineering role with ownership of reporting outputs
• Strong Tableau expertise (dashboard development, LOD expressions, publishing, permissions, performance)
• SQL experience and cloud data platforms; Databricks SQL and Delta Lake or similar
• Good data modelling understanding (facts, dimensions, joins, semantic layers, certified datasets)
• Experience implementing KPI logic across aggregation levels and translating business definitions into calculations
• Knowledge of reporting security concepts (RBAC, row-level security, data classification)
• Ability to work with data engineers, analysts, stakeholders in cross-functional teams
• Practical understanding of the reporting lifecycle (requirements, build, testing, publishing, documentation)
• Familiarity with governed data products, data catalogs and data lineage beneficial
• Strong visual design judgement for clear, structured dashboards

• Collaborative mindset
• Attention to detail
• Strong communication and stakeholder management
• Tableau
• Databricks SQL
• SQL