Automation & AI Analytics Engineer

Lendable Ltd; United States; Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Flexible working: hybrid roles with in

Health coverage

Retirement & savings

Office meals & snacks

Job summary

Lendable is building the most advanced, data‑driven operating model in fintech. As part of the Operations Science & Strategy team, you’ll sit at the intersection of analytics, data science, and AI engineering - using data, LLMs, and automation to transform how our Operations teams work at scale.

You’ll work directly with senior operations leadership on special projects to diagnose demand drivers, uncover commercial opportunities, build KPI frameworks, and deploy automation that reduces

Qualifications

• 2-3 years of hands‑on Python experience in a professional setting.
• Highly numerate with strong analytical reasoning.
• Ability to independently structure analysis, build prototypes, and deliver insights.
• Experience communicating data‑driven recommendations to non‑technical business stakeholders.

Responsibilities

• Design and deploy automation using Python and LLM APIs.
• Analyze demand drivers and build analytics models to guide decisions.
• Develop KPI frameworks and funnel views across customer journeys.
• Collaborate with Ops Directors and C‑suite on strategic initiatives.

Skills

Python

Analytical thinking

Prototyping

Stakeholder comms

Education

STEM Degree

Tools

dbt

Job description

Lendable is building the most advanced, data‑driven operating model in fintech. As part of the Operations Science & Strategy team, you’ll sit at the intersection of analytics, data science, and AI engineering - using data, LLMs, and automation to transform how our Operations teams work at scale.

You’ll work directly with senior operations leadership on special projects to diagnose demand drivers, uncover commercial opportunities, build KPI frameworks, and deploy automation that reduces