Netrolynx AI
Analytics Engineer
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About The Company
hackajob is collaborating with Lendable to connect them with exceptional professionals for this role.
About Lendable
Lendable is on a mission to build the world's best technology to help people get credit and save money. We are committed to transforming the consumer finance landscape by leveraging innovative technology, data-driven insights, and customer-centric solutions. As one of the UK's newest unicorns, Lendable boasts a talented team of over 700 professionals dedicated to redefining financial services. Our rapid growth has positioned us among the fastest-growing tech companies in the UK, and we have maintained profitability since 2017. Backed by leading investors such as Balderton Capital and Goldman Sachs, we pride ourselves on delivering exceptional value and service to our customers. Our reputation is reflected in our outstanding customer reviews, with a Trustpilot score of 4.9 based on tens of thousands of reviews.
So far, we have rebuilt the core consumer finance products—loans, credit cards, and car finance—from the ground up, enabling us to deliver funds to our customers within minutes rather than days. Our strategic focus now is on expanding into the UK and US markets, targeting trillions of dollars in financial products held by traditional banks with outdated systems and cumbersome processes. We are driven by a passion for innovation and a desire to create smarter, faster, and more accessible financial solutions for consumers worldwide.
Join Us If You Want To
- Take ownership across a broad remit, making impactful decisions that influence the company's direction and success from day one.
- Work within small, highly capable teams of resourceful professionals committed to solving problems and challenging the status quo.
- Build industry-leading technology in-house, utilizing new data sources, machine learning, and AI to automate and optimize processes.
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About The Role
We are seeking an analytics engineer to join our UK Motor team, a rapidly expanding segment of our business focused on automotive financing solutions. In this role, you will work closely with analysts, product teams, backend engineers, and business stakeholders to enhance how data is structured, transformed, and utilized across the organization. Your primary focus will be on establishing a robust analytical foundation that enables teams to generate insights quickly and reliably while maintaining high standards for data quality, scalability, and maintainability.
Your contributions will include developing data models that support lending decisions, pricing strategies, portfolio analysis, and investor reporting. You will also play a key role in promoting best practices within the analytics engineering culture and supporting the continuous improvement of our data infrastructure. By ensuring our data warehouse remains a reliable and strategic asset, you will help the business make data-driven decisions with confidence.
This role offers an exciting opportunity to work with a modern data stack centered around SQL, Snowflake, dbt, Fivetran, and Claude, empowering you to leverage the latest tools and technologies in analytics engineering.
Qualifications
We are looking for candidates with a solid foundation in analytics engineering and the ability to apply their skills pragmatically in a fast-paced environment. The ideal candidate will possess strong data modeling skills and a good understanding of how to structure analytical datasets for reliability and usability. Experience with ELT pipelines and transformation at scale, particularly using dbt, is essential. Familiarity with Snowflake or other modern cloud data warehouses is also required.
You should demonstrate proactiveness in identifying areas for workflow improvements and proposing effective solutions. Excellent communication skills and a collaborative working style are vital for working effectively with both technical and non-technical stakeholders. Additionally, comfort with AI tools to enhance workflows and improve quality is highly desirable.
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Responsibilities
- Building and refining data models that underpin lending decisions, pricing, portfolio analysis, and investor reporting.
- Championing data standards and contributing to the development of a strong analytics engineering culture.
- Supporting and collaborating with analysts at various technical levels to translate requirements into robust data pipelines.
- Triaging and resolving issues affecting the analytics pipeline or downstream data trust, and suggesting improvements to enhance efficiency, reliability, and cost-effectiveness.
- Maintaining and evolving the company's modern data stack, ensuring high standards of data quality and system performance.
Benefits
- Opportunity to be part of a winning team, scaling one of the most successful fintech companies globally.
- Flexible working arrangements tailored to each role, including hybrid and fully remote options, with opportunities for in-person engagement through socials and off-sites.
- Access to social events and team-building activities to foster connection beyond work.
- Comprehensive health coverage supporting physical and mental wellbeing, including private health insurance.
- Long-term financial security through retirement savings plans.
- Employee referral program offering bonuses for successful new hires.
- Fully stocked kitchens and complimentary meals at select locations on in-office days.
- Sustainable commuting options, including cycle-to-work schemes and electric vehicle salary sacrifice plans at certain locations.
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