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're dedicated to transforming the consumer finance landscape by leveraging innovative technology, data, and machine learning to deliver faster, more accessible financial products. As one of the UK's newest unicorns, Lendable boasts a talented team of over 700 professionals and has established itself as one of the fastest-growing and most profitable fintech companies since 2017. Backed by leading investors such as Balderton Capital and Goldman Sachs, Lendable has earned a reputation for excellence, receiving the highest customer reviews in the market, with a 4.9-star rating across tens of thousands of reviews on Trustpilot.
Our core achievement has been rebuilding key consumer finance products from scratch, including loans, credit cards, and car finance, enabling us to deliver funds to customers within minutes rather than days. Our strategic focus is now on expanding into the UK and US markets, targeting trillions of dollars held by traditional banks with outdated systems and inefficient processes. Our goal is to modernize and streamline consumer credit, making access to financial products faster, simpler, and more transparent for all.
Join us if you want to take ownership of meaningful projects, work alongside a team of resourceful professionals, and build cutting-edge technology using data, machine learning, and AI to revolutionize consumer finance.
About The Role
We are seeking an experienced analytics engineer to play a vital role in strengthening the analytical foundation of our UK Motor team, a rapidly expanding segment of our business. In this role, you will collaborate closely with data analysts, product managers, backend engineers, and business stakeholders to enhance how data is structured, transformed, and utilized across the organization. Your contributions will be essential in enabling teams to derive insights swiftly while maintaining high standards of data quality, scalability, and reliability.
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The primary focus of this role is to develop and optimize data models that support critical functions such as lending decisions, pricing strategies, portfolio analysis, and investor reporting. You will champion best practices in analytics engineering, ensuring our data infrastructure is robust, efficient, and future-proof. Additionally, you will support the team in troubleshooting data issues, improving transformation pipelines, and fostering a culture of continuous improvement within our data operations.
This position 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 techniques in data engineering.
Qualifications
The ideal candidate will possess solid fundamentals in analytics engineering with a pragmatic approach to applying their skills in a fast-paced environment. You should be comfortable communicating technical concepts clearly to stakeholders with varying levels of technical expertise. Specific qualifications include:
- Strong data modeling skills with a focus on building reliable and usable analytical datasets.
- Proven experience with ELT pipelines and data transformation at scale, preferably using dbt.
- Hands-on experience with Snowflake or other modern cloud data warehouses.
- Proactive mindset with the ability to identify and suggest improvements in data workflows.
- Excellent collaboration and communication skills to work effectively with cross-functional teams.
- Ability to utilize AI tools effectively to enhance workflows, improve data quality, and accelerate delivery.
Responsibilities
As an analytics engineer at Lendable, your responsibilities will include:
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- Designing, building, and refining data models that underpin lending operations, pricing, portfolio management, and investor reports.
- Establishing and promoting data standards and best practices to foster a high-performance analytics engineering culture.
- Collaborating with analysts and product teams to translate business requirements into robust, scalable data pipelines.
- Triaging and resolving issues impacting data pipelines or downstream datasets to maintain trust and reliability.
- Continuously seeking opportunities to improve the efficiency, reliability, and cost-effectiveness of data transformations and storage.
- Maintaining and enhancing the data warehouse environment, ensuring it remains a strategic asset for the business.
- Staying updated with emerging data technologies and AI tools to incorporate innovative solutions into our workflows.
Benefits
At Lendable, we offer a comprehensive benefits package designed to support your health, well-being, and professional growth. These include:
- Opportunity to be part of a winning team that is redefining consumer finance on a global scale.
- Flexible working arrangements tailored to each role, including hybrid options requiring three days in-office or fully remote roles with regular in-person events.
- Engagement in social events and team-building activities to foster connection beyond work.
- Private health coverage supporting your physical and mental well-being.
- Long-term financial security through retirement savings plans.
- Employee referral programs offering attractive bonuses for successful hires.
- Access to fully stocked kitchens, complimentary lunches on in-office days at select locations, and snacks to keep you energized.
- Sustainable commuting options, including cycle-to-work schemes and electric vehicle salary sacrifice programs in select locations.
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