About the role
We are looking for an experienced Senior Data 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 will be the senior analytical voice across our Zable direct marketing initiatives - owning end-to-end marketing funnel data, capture requirements, insight generation, experimentation strategy, and advanced analytics projects. Beyond individual contribution, you will instill best practices and be a key thought partner to product, growth, and engineering leaders.
What You'll Do
Impact & Analytical Leadership
Analyse 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
Co-operate with product and credit teams to ensure mid to deep funnel performance is improved.
Data Product Involvement
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
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 funnel optimisation, segmentation, cohort analysis, LTV modelling, 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, car finance etc.)
Experience with paid media platforms (Google Ads, Meta, Tiktok etc.) and working with marketing teams
Experience building or contributing to Marketing Mix Models or incrementality testing frameworks.
Familiarity with data instrumentation and schema design in product development cycles
Interview process:
Screening call
Take home task and cognitive tests
Case study
Final Interview
