We are looking for a Lead Mobile Analytics professional to drive the strategy, architecture, and execution of analytics across our mobile ecosystem . In this role, you will partner closely with Product, Growth, Marketing, Engineering, and Data teams to unlock insights that shape product strategy and accelerate user and revenue growth. You will lead the development of a world-class mobile analytics framework , enabling deep understanding of user behavior, experimentation at scale, and predictive insights such as pLTV (predictive Lifetime Value) . Your work will directly influence product roadmap decisions, acquisition strategy, monetization models, and long-term user engagement . This role requires a combination of product thinking, statistical rigor, technical depth, and leadership to build scalable analytics solutions and mentor a high-performing analytics team. What You Will Do Drive Mobile Analytics Strategy Own the mobile analytics vision and roadmap , ensuring alignment with product growth and business objectives. Design scalable measurement frameworks for mobile acquisition, activation, retention, engagement, and monetization . Establish best practices for mobile data instrumentation, experimentation, and analytics governance . Deliver Deep Product Insights Lead analysis of mobile user behavior, funnels, and lifecycle metrics to identify opportunities for product improvements. Translate complex datasets into clear insights that drive product decisions and measurable growth . Partner with product leaders to shape data-informed product strategies . Lead Experimentation and Decision Science Build and scale A/B testing and experimentation frameworks across mobile products. Apply advanced statistical methods and causal inference techniques to evaluate product and growth initiatives. Champion a culture of experimentation and evidence-based decision making across teams. Predictive Analytics and pLTV Models Implementation of predictive Lifetime Value (pLTV) models to
