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.
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.
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.
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.

2-3 years of hands-on experience using 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.

Best-in-class compensation, including equity.
Work from home every Monday and Friday if you wish.
Fully stocked kitchen with everything you need to whip up breakfast, lunch, snacks, and drinks in the office every Tuesday-Thursday.
Coverage for Lendies’ well-being both physically and mentally, offering private health insurance.
Equal-opportunity employer, striving for an inclusive workspace.

Data Analyst – Strategic Projects

Key skills