AgileGrid Solutions
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, and AI to deliver fast, reliable, and accessible financial products. As one of the UK's newest unicorns with a team of just over 700 talented individuals, Lendable has established itself as a leading fintech company renowned for its rapid growth and customer-centric approach. Our impressive track record includes being profitable since 2017, backed by top-tier investors such as Balderton Capital and Goldman Sachs, and earning outstanding customer reviews averaging 4.9 across thousands of Trustpilot ratings. We have successfully rebuilt core consumer finance products including loans, credit cards, and car finance from scratch, enabling us to deliver funds into our customers' hands within minutes instead of days. Our strategic focus now extends to expanding into the US and UK markets, where we aim to disrupt traditional banking systems with innovative, data-driven solutions. Join us if you are eager to take ownership of impactful projects, work with small, resourceful teams, and build cutting-edge technology that transforms financial services.
About The Role
We are seeking an analytics engineer to strengthen the analytical foundation of our UK Motor team, a rapidly growing segment of our business. In this role, you will collaborate closely with analysts, product teams, backend engineers, and business stakeholders to enhance data structure, transformation, and consumption across the organization. Your primary responsibility will be to build a robust analytical infrastructure that simplifies the process of deriving insights, while maintaining high standards of data quality, scalability, and maintainability. You will contribute to developing the modelling layer, improving data workflows, and ensuring our data warehouse remains a reliable strategic asset that supports business decision-making. This position offers an exciting opportunity to influence how data is used across the company, enabling faster insights and more informed decisions.
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Key responsibilities include:
- Designing and refining data models supporting lending decisions, pricing strategies, portfolio analysis, and investor reporting.
- Championing best practices in analytics engineering, working with cross-functional teams to translate requirements into scalable pipelines.
- Proactively identifying areas for workflow improvement and supporting troubleshooting efforts to resolve pipeline issues, ensuring data integrity and trustworthiness.
- Contributing to documentation, standards, and best practices to promote consistency and quality across data projects.
- Staying updated with the latest tools, techniques, and trends in analytics engineering and data management.
Qualifications
The ideal candidate will possess a solid foundation in analytics engineering fundamentals, with experience applying these skills in fast-paced environments. You should be able to clearly communicate tradeoffs and technical concepts to stakeholders with varying levels of technical expertise. Specific qualifications include:
- Strong data modelling skills.
- Experience designing and managing ELT pipelines at scale, ideally with dbt.
- Proficiency with Snowflake or similar cloud data warehouse platforms.
- Ability to identify workflow improvements and implement solutions proactively.
- Excellent communication skills for collaboration with technical and non-technical stakeholders.
- Experience using AI tools to optimize data workflows and analysis.
Essential Skills And Experience
- Strong data modelling and dataset structuring skills for reliability and usability.
- Experience designing and managing ELT pipelines at scale, ideally with dbt.
- Proficiency with Snowflake or similar cloud data warehouse platforms.
- Ability to identify workflow improvements and implement solutions proactively.
- Excellent communication skills for collaboration with technical and non-technical stakeholders.
- Experience using AI tools to optimize data workflows and analysis.
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Responsibilities
- Designing, building, and refining data models that underpin lending decisions, pricing, portfolio analysis, and investor reporting.
- Championing best practices in analytics engineering and contributing to the development of a strong analytics culture.
- Collaborating with analysts and engineers to translate business requirements into robust, scalable data pipelines.
- Supporting troubleshooting efforts to resolve data pipeline issues, ensuring data accuracy and trustworthiness.
- Continuously seeking opportunities to improve data workflows, pipeline efficiency, and cost-effectiveness.
- Maintaining and enhancing the data warehouse as a reliable strategic asset for the organization.
- Contributing to documentation, standards, and best practices to promote consistency and quality across data projects.
- Staying updated with the latest tools, techniques, and trends in analytics engineering and data management.
Benefits
- Opportunity to be part of a winning team at one of the world's most successful fintech companies, with scope for professional growth and impact.
- Flexible working arrangements, including hybrid and fully remote options, with regular opportunities for in-person connection through socials and off-sites.
- Access to a vibrant social environment with events designed to foster team bonding and collaboration beyond work tasks.
- Comprehensive health coverage supporting both physical and mental wellbeing, including private health insurance options.
- Long-term financial security through retirement savings plans and other benefits.
- Employee referral programs offering competitive bonuses for successful hires.
- Office amenities such as fully stocked kitchens, snacks, and complimentary meals on in-office days at select locations.
- Sustainable commuting schemes, including cycle-to-work and electric vehicle salary sacrifice options, available in certain locations.
Please note that the specific benefits
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