Staff Analytics Engineer

# Staff Analytics Engineer London Full Time (Permanent) Hybrid Loans US Growth (Analytical)Apply for this role About the roleWe're looking for a Staff Analytics Engineer to own the analytical foundation for our US Loans team, the fastest-growing area of the business. In this role, you'll work closely with analysts, product teams, backend engineers, and business stakeholders to improve how data is structured, transformed, and consumed across the company.The role is fundamentally about building a strong analytical foundation: making it easier for teams to move from question to insight quickly, while maintaining high standards around data quality, scalability, and maintainability.You'll operate with a high degree of ownership, helping shape the modelling layer, improving how analysts work with data, and ensuring our warehouse remains a strategic asset for the business. What you'll be doing Owning and improving the data models that support lending decisions, pricing, portfolio analysis, and investor reporting. Driving the development of our dbt models and transformation layer, working with analysts and stakeholders to improve the speed and quality of insight generation. Helping define good modelling patterns, architecture, and implementation standards across the analytics engineering layer. Supporting and mentoring analysts at different technical levels, helping them build stronger engineering habits and become more effective with data Mentoring an analytics engineer, setting the direction and priorities for the team Acting as a bridge between analysts, backend engineers, product teams, and the data platform team to make sure data is generated, modelled, and used effectively. Identifying opportunities to improve the efficiency, reliability, and cost-effectiveness of our transformation pipeline over time. Scaling our data infrastructure to proactively support the requirements of a rapidly growing business. Our modern data stackYou'll work with a modern analytics stack centred around SQL, Snowflake, dbt, Fivetran and Claude. What we're looking forWe're looking for someone with strong analytics engineering fundamentals and the ability to apply them pragmatically in a fast-moving environment.More specifically, we're looking for:Essential: Strong SQL skills Strong experience with ELT pipelines and transformation at scale, using dbt. Excellent stakeholder management skills, with a proven ability to influence and negotiate with both technical and non-technical stakeholders Strong data modelling skills and a good understanding of how analytical datasets should be structured for reliability and usability. Good judgement in balancing longer-term platform improvements with day-to-day business needs. The ability to spot inefficiencies in existing data workflows and improve them independently. Comfort using AI tools effectively to move faster, improve quality, and strengthen day-to-day analytical and engineering workflows.Desirable: Experience with Snowflake or another modern cloud data warehouse. An interest in helping analysts raise their technical bar through support, mentoring, and better shared patterns. Fintech or scale-up experience Interview process1. Initial call with an engineer2. 15-minute cognitive assessment3. 90-minute techncal interview (Interactive architecture/design exercise)4. 60-minute culture interview with primary stakeholdersApply for this role About LendableLendable is on a mission to build the world's best technology to help people get credit and save money . Founded in 2014 Profitable since 2017 Unicorn in 2021 Backed by Balderton, Goldman Sachs and Ontario Teachers' Pension Plan Loved by customers & employees with top reviews on Glassdoor and TrustpilotSo far, we've rebuilt the big three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers' hands in minutes instead of days. We're growing fast, and there's a lot more to do. We're going after the two biggest Western markets (UK and US) where trillions are held by big banks with dated systems and painful processes. Life at Lendable The opportunity to scale up one of the world's most successful fintech companies Best-in-class compensation, including equity You can work from home every Monday and Friday if you wish - on the other days we all come together IRL to be together, build and exchange ideas Our in-house chefs prepare fresh, healthy lunches in the office every Tuesday-Thursday We care for our Lendies' well-being both physically and mentally, so we offer coverage when it comes to private health insurance We're an equal opportunity employer and are keen to make Lendable the most inclusive and open workspace in LondonCheck out our Glassdoor Reviews Apply for this role