Lead Analytics Engineer

About this role

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 Provide clarity and guidance on data usage across the organisation Team Leadership & Development Provide technical mentorship to analysts and engineers within the Lending squad Support workload allocation and delivery across the squadlet structure Contribute to building strong, collaborative ways of working Strategic Contribution Lead development of the unified Lending data model, a key strategic initiative Contribute to building data context (metadata, definitions, relationships) to enable self-serve analytics and GenAI use cases Support the organisation’s transition to GCP and Looker platforms Personal Attributes & Experience Technical Strong SQL and data modelling experience (BigQuery or similar preferred) Experience working with BI semantic layers (Looker preferred) Proven ability to design and deliver scalable data models Domain & Problem Solving Strong understanding of data flows across complex systems (particularly lending or financial services) Ability to translate business requirements into technical solutions Structured, engineering-led approach to problem solving Leadership Experience leading technical workstreams or projects Ability to mentor and develop team members Strong ownership mindset and ability to operate independently Scope & Impact Owns the Lending data product (GCP + Looker) Leads analytics engineering delivery for Lending Plays a critical role in enabling reporting, risk management, and strategic analytics across the bank #LI-AD1 Working at Allica Bank At Allica Bank we want to ensure our employees have the right tools and environment in which to succeed in their role and in support of our customers. Our employees are at the heart of everything we do, so our benefits are designed with you in mind: Full onboarding support and continued development opportunities Options for flexible working Regular social activities Pension contributions Discretionary bonus scheme Private health cover Life assurance Family friendly policies including enhanced Maternity

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