Analytics Engineer
Burberry Group plc8 days ago
London, United KingdomMid Level
Responsibilities
- Design, build, test, maintain, and optimise enterprise reports, dashboards, KPI views, and visualisations.
- Translate business requirements and data product definitions into accurate, maintainable reporting solutions and business metrics.
- Develop accessible dashboard designs for non-technical users using calculated fields, level-of-detail expressions, filters, parameters, and reusable metrics.
- Document KPI logic, data sources, assumptions, aggregation rules, data lineage, access configurations, refresh schedules, and support requirements.
- Work with data engineers, solution architects, product managers, analysts, governance teams, and business stakeholders on cross-functional reporting delivery.
- Apply role-based access, row-level security, permission management, data classification, and sensitive-data handling controls.
- Support user acceptance testing by validating calculations, resolving defects, and responding to prioritised feedback.
- Contribute reusable reporting assets, templates, certified datasets, self-service components, and efforts to migrate duplicated or ungoverned reports to approved platforms.
Requirements
- Hands-on experience delivering enterprise dashboards, reports, and visualisations in business intelligence, reporting engineering, or analytics delivery roles.
- Mid-level engineering experience with ownership of assigned reporting outputs within established standards and priorities.
- Strong practical Tableau experience, 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 or warehouse technologies.
- Understanding of data modelling concepts including facts, dimensions, joins, aggregations, semantic layers, and certified datasets.
- Experience implementing KPI logic and business metrics across different aggregation levels.
- Understanding of reporting security principles including role-based access control, row-level security, data classification, and sensitive-data handling.
- Strong visual design judgement and ability to create clear, intuitive, well-structured dashboards.
- Experience collaborating with data engineers, product managers, analysts, architects, and business stakeholders.
- Understanding of the reporting lifecycle from requirements capture and build through testing, publishing, documentation, version control, and support.
- Familiarity with governed data products, certified metrics, data catalogues, business glossaries, and data lineage is beneficial.
- Ability to manage multiple priorities while maintaining accuracy, quality, and attention to detail.
Tech Stack
DatabricksSQL
Categories
Data Engineering
About Burberry Group plc
Burberry Group plc designs, makes, and sells luxury apparel, accessories, and beauty products through owned retail stores, e-commerce, and wholesale to consumers worldwide. Its portfolio includes the Burberry trench coat and signature outerwear, leather goods, and fragrance. Founded in 1856 and headquartered in London, the company is publicly listed on the London Stock Exchange (ticker: BRBY) and operates a global store network.