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Senior Marketing Analyst

Job in City Of London, Central London, Greater London, England, UK
Listing for: Lendable
Full Time position
Listed on 2026-01-02
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 80000 - 100000 GBP Yearly GBP 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: City Of London

About Lendable

Lendable is on a mission to make consumer finance amazing:
faster, cheaper, and friendlier. We're building one of the world’s leading fintech companies and are off to a strong start:

  • One of the UK’s newest unicorns with a team of just over 600 people

  • Among the fastest-growing tech companies in the UK

  • Profitable since 2017

  • Backed by top investors including Balderton Capital and Goldman Sachs

  • Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot)

So far, we’ve rebuilt the Big Three consumer finance products from scratch:
loans, credit cards and car finance
. We get money into our customers’ hands in minutes instead of days.

We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes.

Join us if you want to
  • Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1

  • Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo

  • Build the best technology in-house
    , using new data sources, machine learning and AI to make machines do the heavy lifting

  • About the Role

    We are looking for an experienced Senior Analyst to run marketing and growth analytics in our rapidly evolving multi-product app. As Lendable scales its products across lending, engagement features and other financial services, the complexity and volume of data-driven decisions have grown exponentially. This role is central to unlocking insights that will shape our drive acquisition efficiency and fuel product innovation, overseeing the full breadth of digital and non-digital channels across multiple products.

    You will be the senior analytical voice across our Zable direct marketing initiatives - owning end-to-end marketing funnel data, capture requirements, insight generation, experimentation strategy, and advanced analytics projects. Beyond individual contribution, you will instill best practices and be a key thought partner to product, growth, and engineering leaders.

    What You'll Do
    Impact & Analytical Leadership
    • Analyse marketing campaign performance across multiple channels and conduct analyses to identify trends and opportunities for optimisation

    • Structure and execute high-impact analyses in acquisition funnels to inform marketing spend and product evolution

    • Drive experimentation rigor: design, implement, and analyze A/B tests, multivariate experiments, and cohort studies

    • Co-operate with product and credit teams to ensure mid to deep funnel performance is improved.

    Data Product Involvement
    • Influence data architecture by contributing to schema design that enable more insights

    • Build high quality, scalable pipelines and transformations that increase interpretability of data and increase the teams’ agility

    Cross-Functional Partnership
    • Serve as a thought partner to Product Managers and Credit Managers - ensuring analytical insight drives roadmap prioritisation and credit assessments.

    • Collaborate with the creative and design team to deepen insights at the creative and campaign level to enhance prioritisation of their ideas.

    What We're Looking For
    Core Qualifications
    • 3+ years of experience in data analytics, ideally within a product-led or high-growth tech environment

    • Deep expertise in analytical methods including funnel optimisation, segmentation, cohort analysis, LTV modelling, and regression techniques.

    • High proficiency in SQL and strong command of one or more analytics tools or statistical packages (e.g., Python, R).

    • Hands-on experience with DBT and familiarity with data modelling best practices

    • Skilled in experimentation frameworks (A/B testing, hypothesis testing, causal inference).

    • Demonstrated ability to turn ambiguous problems into structured, hypothesis-driven, data-supported insights.

    • Excellent communication skills with experience influencing cross-functional stakeholders and product leaders.

    Nice to Have
    • Experience in credit marketing (credit cards, loans, car finance etc.)

    • Expe…

    Position Requirements
    10+ Years work experience
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