Growth Analyst

United States Digital Space LLC

Greater London

On-site

GBP 42,000 - 68,000

Full time

14 days+

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Benefits offered by this job

Flexible working hours
Health insurance
Retirement & savings plan
Employee referral programme
Office meals & snacks
Hybrid work model

Job summary

Lendable is seeking a Growth Analyst to run marketing and growth analytics across our rapidly evolving multi-product app. As the company scales its products, the role focuses on data-driven decisions to drive acquisition efficiency and product innovation.

You’ll maintain LTV models, run experiments, own growth reporting, and partner with product, growth, and engineering to ground decisions in reliable data.

Qualifications

  • 3+ years of experience in data analytics, ideally within a product-led or high-growth tech environment.
  • Deep expertise in analytical methods including LTV modelling, cohort analysis 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.

Responsibilities

  • Maintain, monitor, and refine customer lifetime value models across products and channels.
  • Analyze marketing campaign performance across multiple channels and identify trends for optimisation.
  • Structure and execute analyses in acquisition funnels to inform marketing spend and product evolution.
  • Drive experimentation rigor: design, implement, and analyze A/B tests and cohort studies.
  • Turn experiment results into clear, actionable recommendations.
  • Influence data architecture by contributing to schema design that enable more insights.
  • Build high quality, scalable pipelines to increase interpretability and team agility.
  • Drive recommendations on channel optimisation and marketing spend in collaboration with Product and Credit teams.

Skills

LTV modelling
Cohort analysis
Regression techniques
SQL
Python
R
DBT
Experimentation
Communication

Tools

SQL
Python
R
DBT

Job description

About LendableLendable is on a mission to build the world's best technology to help people get credit and save money. 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 700 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 the company 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 RoleWe are looking for a Growth Analyst to run marketing and growth analytics in our rapidly evolving multi-product app. As the company 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’ll be the analytical voice across our Zable direct marketing initiatives. Day to day you'll be maintaining and improving our customer lifetime value (LTV) models, running experimentation, owning growth reporting, and maintaining our attribution models. You'll work closely with product, growth, and engineering to make sure decisions are grounded in reliable data.

What You’ll DoImpact & Analytical Leadership Maintain, monitor, and refine our customer lifetime value models across products and channels

  • Analyze 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
  • Turn experiment results into clear, actionable recommendations
  • 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 Drive recommendations on channel optimisation and marketing spend

  • 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 ForCore Qualifications 3+ years of experience in data analytics, ideally within a product-led or high-growth tech environment

  • Deep expertise in analytical methods including LTV modelling, cohort analysis 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)

  • Experience building customer lifetime value models
  • Experience with paid media platforms (Google Ads, Meta, Tiktok etc.) and working with marketing teams

Interview process:

  • Screening call for initial fit
  • Take home Technical
  • Take home debrief
  • In-person interview (of which, cultural interview + marketing analytics interview)

Life at the company Winning team: the opportunity to scale up one of the world’s most successful fintech companies

  • Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites
  • Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls
  • Health coverage: support for your physical and mental wellbeing, including private health cover
  • Retirement & savings: long-term financial wellbeing through retirement savings plans
  • Employee referral programme: earn a competitive bonus when you refer successful new team members
  • Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations
  • Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations

Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner.

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