Analytics Manager, Lendable

• 5+ years of experience in data analytics, with at least 1–2 years in a team leadership or people management role, ideally within a product-led or high-growth tech environment
• Proven track record of mentoring and managing analysts - improving team output, growing individual capabilities, and fostering a high-performance culture
• Deep expertise in analytical methods including funnel optimisation, segmentation, cohort analysis, LTV modelling, and regression techniques
• High proficiency in SQL, ETL pipelines, and experimentation frameworks (A/B testing, hypothesis testing, causal inference)
• Strong command of one or more analytics tools or statistical packages (e.g., Python, R)
• Skilled in using modern BI tools for insight delivery (e.g., Superset, Tableau, Looker, Chartio)
• 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

• 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
• We are looking for an experienced, strategic Analytics Manager to lead a product and growth analytics team within our rapidly evolving multi-product ecosystem
• 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 customer experience, drive acquisition efficiency, and fuel product innovation
• You will be the senior analytical voice across our Superapp initiatives - owning end-to-end product data capture requirements, insight generation, experimentation strategy, and advanced analytics projects
• Beyond individual contribution, you will mentor junior analysts, instill best practices, and be a key thought partner to product, growth, and engineering leaders
• From LTV modelling to funnel optimisation and experiments, you will be instrumental in elevating the sophistication and impact of analytics at Lendable
• Define, structure, and execute high-impact analyses to inform product and growth strategy - especially across acquisition funnels, LTV, and retention levers
• Drive experimentation rigor: design, implement, and analyse A/B tests, multivariate experiments, and cohort studies
• Co-operate with engineering to ensure data capture is considered during build phases
• Lead the development of a lightweight Marketing Mix Model (MMM) to evaluate multi-channel performance and optimise marketing spend
• Act as a mentor and technical advisor to junior analysts - instilling best practices in statistical methods, experimental design, and analytical thinking
• Review analytical work to improve quality and reduce the need for downstream PM corrections
• Influence data architecture by contributing to schema design for new features/products to ensure analytics readiness
• Partner with PMs and engineers to
• Ensure proper instrumentation and data quality from inception to execution
• Assist with the translation of analysis (interpretation back into product context and communication of analysis limitations)
• Serve as a thought partner to Product Managers and Growth leads - ensuring analytical insight drives roadmap prioritisation and product evolution
• Collaborate with performance marketing to deepen insights at the ad platform level (e.g., keyword-level and creative-level analysis)

• Screening call with a member of the team
• Analytics task
• Business case study
• Final interviews with senior stakeholders