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We are seeking an experienced Analytics Engineer to design and build scalable analytical data models that support business intelligence, reporting and commercial analytics. The role sits within a multidisciplinary data team responsible for delivering trusted analytical data products used across commercial and marketing teams. The ideal candidate will combine strong analytical thinking with advanced SQL engineering capability, and will have experience designing analytics-ready datasets used by BI tools or semantic layers. This is not a pipeline engineering role; we are looking for someone experienced in building analytical data models that define consistent business metrics and enable self-service analytics.
Job Responsibility:
Design and implement scalable analytical data models in SQL used by BI tools and analytics platforms
Build datasets that support consistent business metrics, reporting and analysis
Implement modelling approaches such as star schemas, denormalised analytical tables and reusable metric layers
Profile complex datasets to understand data structure, quality and business meaning
Investigate and interpret source data to inform robust analytical modelling decisions
Translate business questions into well-structured analytical datasets
Develop robust SQL transformations to convert raw source data into trusted analytical assets
Ensure analytical models are scalable, performant and maintainable within a cloud data warehouse
Optimise SQL logic for performance and efficient data processing
Work closely with analysts, visualisation developers, data engineers and business stakeholders
Contribute to the development of reusable data assets and consistent analytical definitions
Support the evolution of the organisation's analytics data layer and self-service reporting capability
Requirements:
Advanced SQL skills with experience engineering complex analytical transformations
Proven experience building analytical data models used by BI tools or reporting platforms
Experience designing analytics-ready datasets rather than ingestion pipelines
Strong experience with cloud data warehouse platforms (preferably Google BigQuery / GCP)
Strong data analysis and data profiling capability with the ability to interpret complex datasets
Experience implementing analytical modelling approaches such as star schemas or wide tables
Nice to have:
Experience working with semantic layers or metrics layers (e.g. Looker / LookML)
Experience designing consistent business metrics used across reporting and analytics
Python experience for data analysis, automation or advanced analytics workflows
Exposure to AI-enabled analytics tools or modern data workflows
Experience working in commercial or marketing analytics environments
Telecommunications or subscription business experience would be advantageous