Data Analyst at Lendtable

London, England, United Kingdom

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

FintechIndustries

Requirements

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-have) Experience with dbt or modern data stacks
(Nice-to-have) Familiarity with LLMs, APIs, or interest in building AI automation
(Nice-to-have) Exposure to product, strategy, or operations environments
(Nice-to-have) Thrives in fast-paced, ambiguous environments
(Nice-to-have) Comfortable wearing multiple hats: Analyst, Data Scientist, AI Engineer, PM
(Nice-to-have) Highly motivated, entrepreneurial mindset, and excited by building the strongest operations

Responsibilities

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

Skills

Key technologies and capabilities for this role

Data AnalysisAnalyticsData ScienceAI EngineeringMachine LearningLLMsAutomationKPI FrameworksSQLPython

Questions & Answers

Common questions about this position

Is this a remote or hybrid role?

This is a hybrid position.

What technical skills are required for this Data Analyst role?

The role requires Python programming and experience with LLM APIs such as OpenAI, along with skills in automation, data analysis, building KPI frameworks, and analytical modeling.

What is the salary or compensation for this position?

This information is not specified in the job description.

What is the company culture like at Lendable?

Lendable emphasizes working in small teams of exceptional, relentlessly resourceful people, taking ownership across a broad remit with trusted decision-making from day 1, and building the best in-house technology using data, machine learning, and AI.

What makes a strong candidate for this role?

Strong candidates are technical, curious individuals who love owning problems end-to-end and can work directly with senior leadership on analytics, AI engineering, and operations strategy.

Lendtable

Provides credit lines for retirement contributions

About Lendtable

Lendtable helps employees increase their long-term wealth by providing lines of credit for retirement and employee stock purchase plans (ESPP). This service allows employees to contribute to their 401(k) plans or ESPPs without reducing their take-home pay, enabling them to take full advantage of employer matching contributions. The application process is straightforward, and Lendtable earns revenue through fees on the credit extended. The company's goal is to maximize retirement savings for employees of large corporations while keeping their monthly budgets intact.

San Francisco, CaliforniaHeadquarters

2020Year Founded

$22.5MTotal Funding

SERIES_ACompany Stage

Fintech, Financial ServicesIndustries

11-50Employees

Risks

Rising interest rates may increase Lendtable's cost of capital.

Increased competition from fintech startups could erode Lendtable's market share.

Regulatory scrutiny on retirement-focused financial products could impact Lendtable.

Differentiation

Lendtable offers unique credit lines for 401(k) and ESPP contributions.

The company targets employees of Fortune 500 companies for its services.

Lendtable's model allows wealth-building without reducing take-home pay.

Upsides

Increased employer interest in financial wellness boosts demand for Lendtable's services.

SECURE 2.0 Act encourages higher retirement savings, benefiting Lendtable.

Growing ESPP offerings align with Lendtable's focus on stock purchase plans.

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