Senior Marketing Analyst

About the Role

We are looking for an experienced Senior Analyst to run marketing and growth analytics in our rapidly evolving multi-product app. As [Employer hidden] 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 the job involves

• 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
• 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
• 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

Who you are

• 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

Desirable

• 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

Application process

• Screening call
• Take home task and cognitive tests
• Case study
• Final Interview