At a Glance
- Tasks: Run marketing and growth analytics for our innovative multi-product app.
- Company: Join Lendable, a fast-growing fintech unicorn on a mission to revolutionise credit.
- Benefits: Enjoy competitive pay, equity options, and flexible hybrid working.
- Other info: Collaborative culture with opportunities for personal and professional growth.
- Why this job: Make a real impact by shaping data-driven decisions in a dynamic environment.
- Qualifications: 3+ years in data analytics with strong SQL and analytical skills.
The predicted salary is between 60750 - 74250 £ per year.
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)
About Lendable
Lendable is on a mission to build the world's best technology to help people get credit and save money. Founded in 2014, profitable since 2017, unicorn in 2021, backed by Balderton, Goldman Sachs and Ontario Teachers' Pension Plan. Loved by customers & employees with top reviews on Glassdoor and 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 are held by big banks with dated systems and painful processes.
Life at Lendable
- The opportunity to scale up one of the world’s most successful fintech companies
- Best-in-class compensation, including equity
- You can work from home every Monday and Friday if you wish - on the other days we all come together IRL to be together, build and exchange ideas
- Our in-house chefs prepare fresh, healthy lunches in the office every Tuesday-Thursday
- We care for our Lendies’ well-being both physically and mentally, so we offer coverage when it comes to private health insurance
- We're an equal opportunity employer and are keen to make Lendable the most inclusive and open workspace in London
Growth Analyst employer: Lendable Ltd
Lendable Ltd is an exceptional employer that fosters a dynamic and collaborative work culture, perfect for those looking to thrive in the fast-paced world of marketing. With a strong focus on employee growth and development, you will have ample opportunities to enhance your skills while working on exciting projects under the innovative Zable brand. Located in a vibrant area, our team enjoys a supportive environment that values creativity and teamwork, making it a rewarding place to build your career.
StudySmarter Expert Advice🤫
We think this is how you could land Growth Analyst
✨Get Involved in Data Science Meetups
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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 Ltd.
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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 Ltd, 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 Ltd. 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 Ltd
✨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 Ltd!
✨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.
