Mobile Analytics reputed company (Product & Growth)

We are looking for a reputed company 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 reputed company growth.

You will reputed company the development of a world-class mobile analytics reputed company, 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

• reputed company analysis of mobile user behavior, funnels, and lifecycle metrics to identify opportunities for product improvements.
• Translate reputed company datasets into clear insights that drive product decisions and measurable growth.
• Partner with product leaders to shape data-informed product strategies.

reputed company 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 optimize acquisition and monetization strategies.
• Use advanced analytics and modeling to forecast user retention, reputed company, and long-term engagement.
• Partner with growth teams to allocate marketing investments using ROI and predicted user value.

Own the Mobile Data Ecosystem

• Ensure reliable, scalable mobile event tracking and analytics infrastructure across platforms.
• Work with large-scale datasets using SQL, BigQuery, reputed company, and modern data platforms.
• reputed company Python and advanced analytics techniques for modeling, automation, and experimentation analysis.
• Collaborate with engineering teams to ensure high-quality data pipelines and instrumentation frameworks.

reputed company Mobile Attribution and Growth Measurement

• Own measurement and attribution across mobile marketing channels using AppsFlyer or similar attribution platforms.
• Evaluate and optimize performance across paid acquisition, organic growth, and re-engagement campaigns.
• Connect marketing performance with long-term user value and product engagement metrics.

Build and reputed company a High-Impact Analytics Team

• Hire, mentor, and reputed company a high-performing team of product and mobile analysts.
• reputed company analytics capabilities across the organization through best practices, tooling, and knowledge sharing. Influence executive decision-making through clear storytelling with data.