Analytics Engineer

Lendable; United States; On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Flexible working

Health coverage

Retirement savings plans

Employee referral programme

Office meals & snacks

Job summary

Lendable is seeking an Analytics Engineer to enhance our data models supporting credit decisioning, pricing, and reporting for our US and UK businesses. You will collaborate with analysts, product teams, and backend engineers to improve data structuring and transformation.

The ideal candidate will have strong data modelling skills, experience with ELT pipelines, and a good knowledge of Snowflake. This role offers flexible working conditions and extensive health coverage.

Qualifications

• Strong data modelling skills for reliable and usable datasets.
• Experience with ELT pipelines and data transformation.
• Familiarity with Snowflake or modern cloud data warehouses.

Responsibilities

• Own and improve data models supporting lending decisions.
• Drive development of dbt models and transformation layer.
• Mentor analysts to improve their data engineering skills.

Skills

Data modelling skills

ELT pipelines

Snowflake knowledge

Collaborative working style

Communication skills

Tools

dbt

Fivetran

Job description

As an Analytics Engineer, you’ll own the data models and transformations that underpin credit decisioning, pricing, portfolio performance, and investor reporting for our UK and US businesses.

You’ll work closely with analysts, product teams, backend engineers, and business stakeholders to improve how data is structured, transformed, and consumed across the company.

The role is fundamentally about building a strong analytical foundation: making it easier for teams to move from question to insight quickly, while maintaining high standards around data quality, scalability, and maintainability.

You’ll operate with a high degree of ownership, helping shape the modelling layer, improving how analysts work with data, and ensuring our warehouse remains a strategic asset for the business.

What you’ll be doing

• Owning and improving the data models that support lending decisions, pricing, portfolio analysis, and investor reporting.
• Driving the development of our dbt models and transformation layer, working with analysts and stakeholders to improve the speed and quality of insight generation.
• Helping define good modelling patterns, architecture, and implementation standards across the analytics engineering layer.
• Supporting and mentoring analysts at different technical levels, helping them build stronger engineering habits and become more effective with data.
• Acting as a bridge between analysts, backend engineers, product teams, and the data platform team to make sure data is generated, modelled, and used effectively.
• Leading triage and resolution of issues that affect the analytics pipeline or reduce trust in downstream datasets.
• Identifying opportunities to improve the efficiency, reliability, and cost-effectiveness of our transformation pipeline over time.

Our modern data stack

You’ll work with a modern analytics stack centred around Snowflake, dbt, and Fivetran.

What we're looking for

We’re looking for someone with strong analytics engineering fundamentals and the ability to apply them pragmatically in a fast‑moving environment.

More specifically, we’re looking for:

• Strong data modelling skills and a good understanding of how analytical datasets should be structured for reliability and usability.
• Strong experience with ELT pipelines and transformation at scale, ideally using dbt.
• Experience with Snowflake or another modern cloud data warehouse.
• Good judgement in balancing longer‑term platform improvements with day‑to‑day business needs.
• The ability to spot inefficiencies in existing data workflows and improve them independently.
• A collaborative working style and clear communication across technical and non-technical stakeholders.
• Comfort using AI tools effectively to move faster, improve quality, and strengthen day‑to‑day analytical and engineering workflows.
• An interest in helping analysts raise their technical bar through support, mentoring, and better shared patterns.

Life at Lendable

• Winning team: the opportunity to scale up one of the world’s most successful fintech companies
• Flexible working: flexible approach tailored to each role. Hybrid roles require three days in‑office weekly; fully remote roles include regular opportunities for in‑person connection through socials and off‑sites
• Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls
• Health coverage: support for your physical and mental wellbeing, including private health cover
• Retirement & savings: long‑term financial wellbeing through retirement savings plans
• Employee referral programme: earn a competitive bonus when you refer successful new team members
• Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in‑house chefs on in‑office days at select locations
• Sustainable commuting: cycle‑to‑work and electric vehicle salary sacrifice schemes available in select locations

Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner.