At a Glance
- Tasks: Run marketing and growth analytics to drive acquisition efficiency and product innovation.
- Company: Join one of the UK's fastest-growing fintech companies with a collaborative culture.
- Benefits: Flexible working, health coverage, office meals, and employee referral bonuses.
- Other info: Enjoy a winning team atmosphere with excellent career growth opportunities.
- Why this job: Make a real impact in a dynamic environment while shaping the future of finance.
- Qualifications: 3+ years in data analytics, strong SQL skills, and experience with A/B testing.
The predicted salary is between 49500 - 60500 £ per year.
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 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 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 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
- 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.
- 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.
Growth Analyst employer: Lendable
Lendable is an exceptional employer that champions innovation and flexibility, making it an ideal place for a Senior Kotlin/JVM Engineer to thrive. With a vibrant work culture that prioritises collaboration and personal growth, employees are encouraged to develop their skills while contributing to impactful financial products. The company's commitment to flexible working arrangements further enhances the work-life balance, making it a rewarding environment for those looking to make a difference in the fintech space.
StudySmarter Expert Advice🤫
We think this is how you could land Growth Analyst
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Lendable!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Growth Analyst at Lendable.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Lendable.
✨Apply Directly through Our Website
When you find a suitable opening like Growth Analyst at Lendable, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Growth Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Lendable, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Lendable. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Lendable
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Lendable!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
