Growth Analyst
London · London, United Kingdom
- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
Location type: Hybrid
From the employer’s posting- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
Growth & Analytics › Growth › UK Growth — team source
Department: Growth & Analytics › Growth › UK Growth
From the employer’s posting
What you’ll work on
Full postingWe are looking for a Growth Analyst to run marketing and growth analytics in our rapidly evolving multi-product app.
You'll be the analytical voice across our Zable direct marketing initiatives.
Maintain and refine customer lifetime value (LTV) models across products and channels
Analyze marketing campaign performance and find optimisation opportunities
Design, run and analyze A/B tests, multivariate experiments and cohort studies
Turn experiment results into clear, actionable recommendations
Maintain attribution models and own growth reporting
From the employer’s posting
We are looking for a Growth 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'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.
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
design, implement, and analyze A/B tests, multivariate experiments, and cohort studies
Turn experiment results into clear, actionable recommendations
owning growth reporting, and maintaining our attribution models
What you’ll bring
All qualificationsCore experience
- 3+ years of experience in data analytics
- Deep expertise in LTV modelling, cohort analysis and regression
- High proficiency in SQL
- Hands-on experience with DBT and data modelling best practices
- Experience with experimentation frameworks such as A/B testing and causal inference
Qualification wording
3+ years of experience in data analytics
Deep expertise in analytical methods including LTV modelling, cohort analysis and regression techniques
High proficiency in SQL
Hands-on experience with DBT and familiarity with data modelling best practices
Skilled in experimentation frameworks (A/B testing, hypothesis testing, causal inference)
Tools in this posting
- Python
- R
- SQL
- dbt
Source — Tool mentions in context
- 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
- 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).
About Lendable
Lendable is on a mission to build the world's best technology to help people get credit and save money.
In the employer’s words · Read in context · Company website ↗
Posting record
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- Live
- First seen by us
- Aug 6, 2026 · 76 days ago
- Recorded sightings
- 108
- Last seen by us
- Oct 21, 2026
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Job description
About Lendable
Lendable 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 most exciting unicorns with a team of over 800 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: 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: Lendies are relentlessly resourceful. We challenge the status quo to solve problems and find smarter solutions
Build the best technology in-house: we use new data sources, machine learning and AI to make machines do the heavy lifting
About the Role
We are looking for a Growth 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'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 Do
Impact & 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 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 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 Lendable
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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- Pay
No pay amount identified in the saved description.
- Location & working pattern
London, United Kingdom
- 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
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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