AnalyticsEngineer(Credit)

Hello! We're Teya. Teya is a payment and software service provider, headquartered in London serving small, local businesses across Europe. Founded in 2019, we build easy to use, integrated tools that enable our members to accept payments and boost business performance. At Teya we believe small, local businesses are the lifeblood of our communities. We’re here because we don’t believe there’s a level playing field that gives small businesses with a fighting chance against the giants of the high street. We’re here because we see banks and legacy service providers making things harder for them. We don’t think the best technology or the best service should be reserved for those with the biggest headquarters. We’re here to fight for a future where small, local businesses can thrive, and to commit the same dedication they offer all of us. Become a part of our story. We’re looking for exceptional talent to join our mission. We offer a chance to create impact in a high-energy and connected culture, while benefiting from continuous learning opportunities, a supportive community which is proud to serve our mission, and comprehensive benefits. THE ROLE We are looking for a Analytics Engineer to lead our data strategy within the Credit Product team. You will be responsible for the full data lifecycle — from designing robust dbt models to delivering insights that drive SMB lending decisions. You will work closely with Credit, Product, and Engineering teams to ensure our credit products are optimized, scalable, and supported by high-integrity data. KEY RESPONSIBILITIES Data Leadership - Lead the credit business with data-driven solutions - Own the roadmap for credit reporting and analytics from inception to delivery Modelling & Architecture - Design, implement, and maintain scalable data models in dbt - Ensure the Data Warehouse remains a reliable “source of truth” for credit performance Stakeholder Management - Partner with business leads to gather requirements - Translate compl