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Contractor 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 contractor Analytics Engineer, you will play a key role in establishing a domain-driven data architecture within Lendable, ensuring clear ownership across key domains such as Credit, Collections, Decision Science, and Growth. You will collaborate closely with stakeholders—including analysts, backend engineers, and product teams—to deliver impactful improvements across these domains. You will also have the opportunity to contribute to enhancing underlying data models and reporting foundations within Finance/Capital Markets, as well as technical enhancement initiatives.

What you'll be doing

  • Overseeing the data modelling architecture and implementation for our products

  • Driving the development of our DBT models, and 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.

  • 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 and impactful, and maintain the highest data quality standards.

What we offer

  • 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.

  • 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.

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

$75000 / YEARLY (est.)
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$60000K
$90000K

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 Contractor Analytics Engineer, Lendable

If you’re an experienced Contractor Analytics Engineer looking for a dynamic and innovative environment, Lendable is the perfect place for you! We’re on a mission to revolutionize consumer finance, and we need your expertise to help us build an exceptional data architecture. At Lendable, you will take ownership of key domains like Credit, Collections, Decision Science, and Growth, ensuring the data models support crucial decision-making processes. Your role will involve collaborating closely with analysts, backend engineers, and product teams to drive impactful improvements that resonate throughout our organization. Your deep understanding of ELT methods, particularly with DBT and Snowflake, will be essential as you oversee the data modeling architecture and implement new changes. We are building the best technology in-house, and as part of our collaborative team, you will have the chance to mentor others and push the boundaries of data engineering. Imagine being able to contribute directly to decisions that shape our rapidly growing fintech company and improve the financial lives of our customers. Being a part of Lendable means you'll have access to the best tools and a diverse range of projects that keep each day exciting. If you are ready for a challenge where you can make a real difference, we’d love to hear more about how you fit into our mission!

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

As a Contractor Analytics Engineer at Lendable, your primary responsibilities include overseeing the data modeling architecture, driving the development of DBT models, mentoring analysts, and acting as a liaison between backend engineers and product teams. You will ensure the data architecture supports various domains like Credit, Collections, and more, while maintaining high data quality standards.

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What qualifications are needed to be a Contractor Analytics Engineer at Lendable?

To be considered for the Contractor Analytics Engineer role at Lendable, candidates should possess strong proficiency in data modeling, a deep understanding of data analysis, and extensive experience with ELT focusing on data transformations at scale, preferably using DBT. Additionally, familiarity with Snowflake or alternative data warehouses is crucial.

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How will I collaborate with other teams as a Contractor Analytics Engineer at Lendable?

In your role as a Contractor Analytics Engineer at Lendable, you will collaborate closely with various stakeholders, including analysts, backend engineers, and product teams. You will act as a liaison to understand data generation processes, triage analytics pipeline issues, and help enhance the technical skills of your colleagues.

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What tools and technologies will I work with as a Contractor Analytics Engineer at Lendable?

At Lendable, you will work with cutting-edge technologies in data engineering, including Snowflake, DBT, and Fivetran. These tools will empower you to build the best-in-class data architecture and support the innovative projects we're developing.

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What workplace culture can I expect as a Contractor Analytics Engineer at Lendable?

At Lendable, you can expect a culture that emphasizes quality, innovation, and results. You'll join a collaborative team of experts who are committed to pushing the boundaries of data engineering. We prioritize our employees' well-being and provide flexibility in work arrangements to promote a healthy work-life balance.

Join Rise to see the full answer
Common Interview Questions for Contractor Analytics Engineer
How do you approach data modeling for complex projects as a Contractor Analytics Engineer?

In approaching data modeling for complex projects, I start by understanding the business requirements and the specific needs of stakeholders. I then develop an architecture that aligns with these needs while ensuring scalability and data integrity, integrating feedback from the team throughout the process.

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Can you explain the ELT process and its importance in your role?

The ELT process, which stands for Extract, Load, Transform, is crucial as it allows for efficient handling of large datasets. I emphasize loading raw data into the data warehouse first before transforming it, as this ensures that data is available for immediate querying, which can significantly improve analytics timelines.

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Describe a challenging analytics problem you've solved in a previous role.

In my previous role, I faced a challenge with slow database performance affecting analytics reports. I conducted a thorough analysis and discovered redundant data processing. By optimizing queries and restructuring indexes, I improved performance significantly, which led to faster insights for decision-making.

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How do you ensure data quality within your projects?

To ensure data quality, I implement rigorous validation checks during the data transformation process. This includes testing data at various stages, creating a process for identifying data anomalies, and collaborating with teams to establish clear data governance practices.

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How do you mentor junior analysts as a Contractor Analytics Engineer?

I take a hands-on approach when mentoring junior analysts. I focus on individual learning styles and provide tailored guidance. My goal is to foster their understanding of data engineering concepts while encouraging questions and collaborative problem-solving to enhance their confidence and skill set.

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What role does collaboration play in the success of an analytics team?

Collaboration is essential for a successful analytics team. By leveraging diverse skill sets and perspectives, team members can produce richer insights. I actively promote open communication and regular check-ins to ensure everyone is aligned and engaged with the project objectives.

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Can you provide an example of how you handled a data pipeline issue?

Certainly! During a critical phase of our project, I noticed discrepancies in our data pipeline outputs. I quickly assembled a response team, and we performed a root cause analysis. We implemented corrective measures and established monitoring protocols to prevent similar issues in the future, significantly enhancing our data pipeline's reliability.

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What experience do you have with DBT in your prior roles?

In my previous roles, I extensively used DBT to streamline the transformation processes. I appreciate its modular approach, allowing me to create reusable models that simplify complex transformations. I'm also adept at both developing and documenting workflows, which aids in team collaboration and knowledge sharing.

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How do you stay current with trends in data engineering?

I stay current by regularly engaging with industry blogs, forums, and attending webinars and conferences. I also participate in local data meetups, where I can network with other professionals and share insights about the latest tools and techniques in data engineering.

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What motivates you to work as an Analytics Engineer?

I’m motivated by the opportunity to make data-driven decisions that can lead to meaningful organizational change. Being in a position where my contributions directly impact business outcomes is rewarding, and I enjoy the continuous learning that comes with evolving technologies in the data space.

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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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DATE POSTED
January 27, 2025

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