Analytics Engineer

- Work with existing ELT/ETL data pipelines that ingest data from multiple data sources into a cloud data warehouse - Develop and maintain analytics-ready data models and transformations using dbt or Dataform, following analytics engineering best practices - Collaborate with data engineering and platform teams to extend and improve datasets within the warehouse - Ensure data is accurate, consistent, and trusted across the business - Design and maintain the semantic layer within BI tools to provide consistent, trusted commercial metrics - Model and embed business logic in the BI semantic layer to support revenue, funnels, and lifecycle analysis - Build, optimise, and maintain scalable dashboards and structured reports in BI tools, ensuring efficient query performance and accurate metric definitions - Collaborate with product, marketing, sales, and operations teams to understand data requirements and translate them into well-defined models and transformations - Work closely with analytics, insights, and data stakeholders to enable accurate, consistent data for reporting and analysis - Support teams by providing reliable, well-documented datasets and semantic models that underpin dashboards and analysis - Communicate technical concepts, assumptions, and limitations clearly to non-technical stakeholders