Lead Analytics Engineer

Descripción del puesto

About Allica Bank Allica is the UK’s fastest growing company - and the fastest-growing financial technology (Fintech) firm ever. Our purpose is to help established SMEs, one of the last major underserved opportunities in Fintech. Established SMEs are the backbone of local communities - representing over a third of our economy - yet have been largely neglected both by traditional high street banks and modern fintech providers. Role Description The Lead Analytics Engineer owns the design, delivery, and ongoing evolution of the Lending data product on GCP and Looker. This role bridges analytics, data engineering, and business stakeholders to deliver scalable, well-governed data models that support reporting, decision-making, and emerging AI-driven use cases. The role combines hands-on technical delivery, with leadership of an analytics engineering squad, setting standards for data modelling, validation, and usage across the Lending domain. Principal Accountabilities Data Product Ownership Own and evolve the Lending data model across BigQuery and Looker Deliver standardised, scalable data models (gold + semantic layers) Ensure data models accurately reflect lending business logic and requirements Drive data quality, validation, and consistency across datasets Technical Leadership Define and implement best practices for analytics engineering (modelling, naming, documentation, testing) Lead design and code reviews across the analytics engineering workstream Act as the subject matter expert on Lending data structures and behaviour Delivery & Workstream Leadership Lead the GCP and Looker data workstream, including sprint planning and prioritisation Translate business requirements into structured engineering tasks and delivery plans Ensure high-quality and timely delivery of data assets Stakeholder Engagement Partner with Lending, Risk, Product, and Engineering teams to define data requirements Translate business metrics into structured data models and definitions Provid