Operations Data Analyst (Special Projects)

We’re building the most advanced, data-driven operating model in fintech. As part of Lendable’s 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 working on special projects to diagnose demand drivers, uncover commercial opportunities, build KPI frameworks, and deploy automation that materially reduces our cost-to-serve while improving customer outcomes.

If you’re technical, curious, and love owning problems end-to-end, this is the role for you.

What You’ll Do

1. Automation & AI Engineering

• Use Python and LLM APIs (e.g. OpenAI) to design and deploy automation that replaces manual CS/FS processes.

• Build prototypes, test with real operations data, and scale the successful ones into production workflows.

• Partner with PMs and engineers to operationalise AI-driven solutions across Operations.

2. Demand Analytics & Strategy

• Analyse key operations demand drivers (contact per customer, reason drivers, seasonality, servicing behaviour).

• Identify levers to reduce avoidable demand and improve customer outcomes.

• Build analytical models that drive decision-making around cost optimisation and resourcing.

3. KPI & Funnel Intelligence

• Build clear, robust KPI frameworks and funnel views across customer journeys.

• Translate data into commercial insight, operational efficiency recommendations, and productivity tracking.

• Create metrics that scale across new geographies, products, and teams.

4. Work With Senior Leadership

• Work directly with Ops Directors, Heads of CS/FS/Fraud/Complaints, and the COO on strategic initiatives.

• Turn raw data into narrative-driven recommendations that are simple, actionable, and commercially grounded.

• Own analytics for high-impact projects end-to-end.
  

What We’re Looking For

Must-Have Skills

• 1-3 years of hands-on experience using SQL and Python 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.

Nice-to-Haves

• Experience with dbt or modern data stacks.

• Familiarity with LLMs, APIs, or interest in building AI automation.

• Exposure to product, strategy, or operations environments.

• Thrives in fast-paced, ambiguous environments.

• Comfortable wearing multiple hats Analyst, Data Scientist, AI Engineer, PM.

• Highly motivated, entrepreneurial mindset, and excited by building the strongest operating model in fintech.
  

Why Join

• Work on high-visibility, high-impact projects that directly shape the future of Lendable’s operations.

• Build automation and analytics used daily by hundreds of agents and thousands of customers.

• Collaborate with a small, sharp, and ambitious team that moves fast.

• Real ownership: if you build it, you’ll see it shipped and scaled.