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Senior Analytics Engineer

About Lendable

Lendable is on a mission to make consumer finance amazing: faster, cheaper and friendlier.

  • We're building one of the world’s leading fintech companies and are off to a strong start:

  • One of the UK’s newest unicorns with a team of just over 400 people

  • Among the fastest-growing tech companies in the UK

  • Profitable since 2017

  • Backed by top investors including Balderton Capital and Goldman Sachs

  • Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot)

So 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 worth of financial products are held by big banks with dated systems and painful processes.

Join us if you want to

  • Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1

  • Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo

  • Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting

About Lendable


Lendable is on a mission to make consumer finance amazing: faster, cheaper and friendlier.

 

> We're building one of the world’s leading fintech companies and are off to a strong start:

> One of the UK’s newest unicorns with a team of just over 400 people

> Among the fastest-growing tech companies in the UK

> Profitable since 2017

> Backed by top investors including Balderton Capital and Goldman Sachs

> Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot)


So 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 worth of financial products are held by big banks with dated systems and painful processes.



Join us if you want to


> Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1

> Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo

> Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting



About the role


As a Senior Analytics Engineer, you will oversee the data architecture for our U.S. business and Superapp. These new products are critical to Lendable's ambitious growth strategy and represent greenfield opportunities where you will take ownership of the data models that will inform our decision-making at all levels. Your work will directly impact our capabilities in credit underwriting, enhancing our ability to make smarter, faster lending decisions.


Additionally, your insights will drive user retention and engagement for our consumer-facing app (Zable) aimed at understanding and predicting user behaviour. You will collaborate with analysts, stakeholders, backend engineers, and product teams to enhance our Data Warehouse, turning it into a competitive asset for Lendable. This role will give you the opportunity to significantly influence our organisation by mentoring a team of analysts and setting the foundations of our analytical workflow.


What you'll be doing

  • Overseeing the data modelling architecture and implementation for our U.S. business and Superapp.

  • Driving the development of our DBT models, collaborating with analysts and stakeholders to enhance their efficiency in gaining insights.

  • Supporting and mentoring analysts at all technical levels to accelerate their development and improve their engineering skills.

  • Communicating analysts' needs to the data platform team to prioritise our roadmap effectively.

  • Acting as a liaison between backend engineers and product teams to understand data generation and its significance, while leading the triage of any issues affecting the analytics pipeline.

  • Contributing to the overall data platform strategy to ensure our features are relevant, impactful, and maintain the highest data quality standards.

About our team

  • Innovative Environment: Work on an early-stage project that sets the foundation for our data future.

  • Best-in-Class Tools: Access cutting-edge technologies in data engineering, including Snowflake, DBT, and Fivetran.

  • Collaborative Team: Join a team of passionate experts pushing the boundaries of data engineering at Lendable.

  • Impactful Work: Experience the direct influence of your contributions on company decisions and outcomes.

  • Culture of Excellence: Be part of a culture that emphasises quality, innovation, and results.

  • Diverse Projects: Engage in a variety of projects, ensuring continuous challenges and engagement.

What we're looking for

  • Strong proficiency in data modelling and a deep understanding of data analysis.

  • Strong experience with ELT,  focusing on transformations at scale, preferably with DBT

  • Extensive experience with Snowflake or alternative data warehouses.

  • Ability to independently identify and implement opportunities for improving the efficiency and cost-effectiveness of our data transformation pipeline.

  • Capacity to balance long-term platform improvements with daily operational needs.

  • Able to upskill and mentor non-technical colleagues in analytics engineering.

  • Strong communication skills for effective collaboration with business analysts and stakeholders, translating business requirements into technical solutions.

Interview process

  • Quick phone call with someone in our Talent team (30 minutes)

  • Take-home SQL test (approximately taking 2 hours, to return within a week)

  • Peer interviews to assess technical skills and business insight (90 minutes)

  • Final culture interview with our CTPO (30 minutes)

Life at Lendable (check out our Glassdoor page)


> 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 chef prepares 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 looking to make Lendable the most inclusive and open workspace in London


Check out our blog!

Life at Lendable (check out our Glassdoor page)

  • 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 chef prepares 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 looking to make Lendable the most inclusive and open workspace in London

Check out our blog!

Average salary estimate

$135000 / YEARLY (est.)
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$120000K
$150000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Senior Analytics Engineer, Lendable

Lendable is on the lookout for a Senior Analytics Engineer to join our dynamic team! In this pivotal role, you'll be overseeing the data architecture for our U.S. business and the innovative Superapp. As a Senior Analytics Engineer, your expertise will be crucial in shaping our data models, enabling informed decision-making that drives Lendable's expansion into major markets. You'll play a key role in credit underwriting and user engagement for our application, Zable, enhancing the customer experience by analyzing user behavior. Collaboration is at the heart of what we do here at Lendable, so you'll be working closely with analysts, backend engineers, and product teams to refine our Data Warehouse, ensuring it becomes a competitive asset for the company. You'll also have the rewarding opportunity to mentor analysts, helping to foster talent while setting the groundwork for efficient analytical workflows. If you’re ready to take ownership of your projects, drive impactful solutions, and work alongside a talented team dedicated to innovation in fintech, Lendable is the place for you!

Frequently Asked Questions (FAQs) for Senior Analytics Engineer Role at Lendable
What are the main responsibilities of a Senior Analytics Engineer at Lendable?

As a Senior Analytics Engineer at Lendable, you will oversee data modeling architecture, driving the development of DBT models while collaborating with analysts and stakeholders. You'll communicate analytics needs to prioritize our roadmap and serve as a vital link between backend engineers and product teams, ensuring data generation aligns with business objectives.

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What qualifications do I need to apply for the Senior Analytics Engineer position at Lendable?

To apply for the Senior Analytics Engineer role at Lendable, candidates should possess strong proficiency in data modeling and analysis, experience with ELT processes, particularly using DBT, and familiarity with data warehouses like Snowflake. Additionally, having strong communication skills to translate technical requirements into business solutions is crucial.

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How does Lendable support career growth for Senior Analytics Engineers?

Lendable emphasizes mentorship in the Senior Analytics Engineer role, allowing you to train and guide analysts at various levels, while also fostering your professional development. Working in an innovative environment with cutting-edge technologies provides ample opportunities to grow your skill set and advance your own career.

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What tools and technologies will I use as a Senior Analytics Engineer at Lendable?

In your role as a Senior Analytics Engineer at Lendable, you will work with state-of-the-art tools in data engineering, including DBT, Snowflake, and Fivetran. This technology stack is designed to enhance the efficiency and quality of our data transformation processes.

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What is the work culture like for a Senior Analytics Engineer at Lendable?

Lendable promotes a collaborative and innovative work culture, especially for Senior Analytics Engineers. You will be part of a team that's passionate about pushing data engineering boundaries, contributing to meaningful projects, and enjoying a healthy work-life balance with flexible working arrangements.

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Common Interview Questions for Senior Analytics Engineer
Can you explain your experience with data modeling relevant to the Senior Analytics Engineer role?

When discussing your experience with data modeling, aim to highlight specific projects where you've implemented data models successfully, detailing the tools and methodologies used. Showcase how your contributions improved data accuracy and supported business decisions.

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What approaches do you use for performance optimization in data transformation processes?

In answering this question, discuss specific strategies you utilize for optimizing data transformation processes, such as SQL query optimization, leveraging indexes or partitions, and using tools like DBT for transforming data efficiently.

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How do you prioritize tasks when managing multiple analytical projects?

Discuss your prioritization strategy, such as assessing project impact, deadlines, and resource availability. Elaborate on any frameworks or tools you use, such as Kanban or Agile methodologies, which help manage your workflow effectively.

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Describe a challenging problem you solved as an Analytics Engineer.

Share a detailed story about a specific analytical challenge you faced and the steps taken to resolve it. Emphasize the outcome and the impact your solution had on the team or organization, demonstrating your problem-solving skills.

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How do you ensure data quality in your work?

Explain your process for maintaining data quality, including validation techniques, automated testing, and regular audits. Provide examples of tools or scripts you've implemented to support high standards in data processing.

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Can you give an example of working with stakeholders to translate business requirements into analytical solutions?

Talk about a time you successfully collaborated with stakeholders to gather requirements for a project. Emphasize your communication skills in translating these needs into technical specifications and the successful delivery of the final analytical solution.

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What’s your experience with mentoring other analysts?

Discuss your experience in mentoring, focusing on how you’ve guided less experienced analysts through challenges and helped them develop their technical skills. Highlight any mentorship programs you've initiated or participated in.

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How do you stay updated with the latest technologies in data engineering?

Explain your methods for staying current with data engineering technologies, such as attending conferences, participating in professional networks, engaging in online courses, or following industry leaders and publications.

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What tools do you prefer for data visualization, and why?

Discuss your preferred data visualization tools, explaining why you find them effective for presenting data insights. Include specific use cases and how these tools facilitate better understanding of complex data for stakeholders.

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How would you handle a disagreement with a stakeholder about a data interpretation?

Describe a strategy for handling disagreements diplomatically, focusing on active listening, providing data-backed arguments, and emphasizing collaboration. Share an example if possible to demonstrate your conflict resolution skills.

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Founded in 2014, Lendable offers loans to consumers by matching them with investors. It aims to make loan applications easier and quicker by using technology to automate credit decisions and give borrowers instant, personalized interest rates. Len...

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Full-time, hybrid
DATE POSTED
January 27, 2025

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