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)
