Aramis de Albuquerque Farias

Direct analytical support for game teams, encompassing KPI definition, A/B test design and evaluation, assisting with new feature design, and the analysis of in-game initiatives.

• Developed custom visualization solution that became used in 50% of all visualizations of the company, enabling advanced displays not available in the standard BI tool (Looker), e.g. error bars, confidence intervals, moving averages and faceting.
• Standardized data infrastructure, reducing new dashboard creation time by 50% and expanded the solutions to other games, reducing processing time up to 50%.
• Mentored analytics transformation across multiple game teams, establishing best practices for data architecture and self-service analytics that became company-wide standards.
• Implemented automated revenue tracking system that identified 3.3% revenue leakage across all company products and worked with engineering teams to resolve data pipeline issues.

Direct analytical support for game teams, encompassing KPI definition, A/B test design and evaluation, assisting with new feature design, and the analysis of in-game initiatives.

• Built end-to-end A/B testing framework from conception to analysis, centralizing experimentation processes and delivering automated reporting that supported 50+ tests annually
• Designed analytics infrastructure migrating from legacy systems to modern BI tools (Looker), creating standardized data pipelines and self-service dashboards for all game stakeholders.
• Led critical product launch analysis for Tennis 2.0 feature rollout, providing statistical guidance and performance tracking that supported executive decision-making for multi-million dollar product pivot
• Created anti-fraud detection system using behavioral analysis to identify and ban cheating patterns, improving game integrity and user experience

Responsible for analytical events design, monitoring, and visualization; A/B test design and evaluation; analytical support for monetization, economy, and product initiatives; and explanatory business reports.

• Redesigned live operations infrastructure to support daily operations cycle, implementing automated quality control systems and conflict detection that reduced operational errors by 90%
• Created operational efficiency tools including automated scripts and spreadsheet functions that reduced manual work by 60%