Pedro Dias

I’m a Senior Data Analyst specializing in product analytics, monetization, experimentation, and user behavior for mobile products. With 6 years of experience, I translate behavioral and revenue signals into actionable product, pricing, conversion, and lifecycle strategies. I’m hands-on, building analytics foundations from event tracking through KPI-ready datasets and dashboards.

I own end-to-end data stack responsibilities—tracking requirements, ETL/ELT pipelines, analytics-ready tables, data modeling, and data quality processes. I also govern BI and analytics tooling so leadership and cross-functional teams can rely on standardized, self-serve KPI reporting. My focus is making data usable for decisions, not just reports.

I design and analyze experiments, cohorts, and user behavior deep-dives to uncover engagement, churn, and conversion drivers. In practice, I’ve built an LTV forecasting model with R² = 0.80 and less than 15% error at D30, improved first-session retention by 15% by addressing onboarding friction, and increased conversion rates by 150% through personalized offers. I also support automation and scalable workflows, including an LLM-based content reviewer that reduced manual review time by 40% while improving localization accuracy.

I partner closely with Product, Marketing, Tech, and Operations to measure recurring initiatives and lifecycle effectiveness through clear decision frameworks and reliable metrics. I enjoy turning analytics into practical growth motions—whether that’s lifecycle segmentation, monetization optimization, or experimentation that guides the roadmap. I was selected as a speaker at Gamescom Latam 2026 for “How to Optimize Ads in Mobile Games: Interstitial and Rewarded.”