Analytics Engineer

• Design and develop scalable analytical data models and reporting datasets.
• Translate business requirements into robust, analytics-ready solutions.
• Build and optimise SQL-based transformations within cloud data platforms.
• Develop semantic models and data layers to support reporting and BI tools.
• Work closely with stakeholders to define business metrics and reporting requirements.
• Support the delivery of self-service analytics capabilities across the business.

• Proven experience in an Analytics Engineer, Data Modeller or similar role.
• Strong SQL skills with experience building analytical data models.
• Experience working with cloud data platforms such as GCP/BigQuery.
• Strong understanding of dimensional modelling, star schemas and data warehousing concepts.
• Experience developing reporting datasets and enabling self-service analytics.
• Ability to engage with business stakeholders and translate requirements into data solutions.

Desirable

• Experience with Looker, LookML or similar semantic modelling tools.
• Experience with dbt and modern data stack technologies.
• Background within customer, consumer, commercial or telecoms analytics environments.
• Python scripting and automation experience.

Our client, a leading telecoms organisation in the search for an experienced Analytics Engineer to join a high performing data and analytics team.

This role will focus on designing and building analytics-ready data models, enabling self-service reporting, and delivering trusted datasets that support strategic business decision-making across the organisation.