Data Analyst III

Description

Job Summary: We are looking for a professional to build, maintain, and optimize data pipelines, develop dashboards, and conduct analyses to support strategic decision-making in a dynamic digital entertainment environment. Key Highlights: 1. Dynamic and results-oriented environment 2. Ownership, autonomy, and accelerated learning 3. Company in continuous evolution, opening new opportunities **About Us** We are constantly evolving—strengthening our structure, expanding our capabilities, and advancing to the next levels of digital entertainment in Brazil. We remain pioneers, driven by ambition, technology, and a focus on scale. We operate in real time, with millions of decisions happening every second, and we seek people who want to grow alongside this journey. Here, you’ll find a dynamic and results-oriented environment where ownership, autonomy, and accelerated learning are part of daily life. We value those who leverage technology, embrace challenges, and aim to build something great. If you want to join a company in continuous evolution—raising the bar and opening new opportunities—Apostou may be your next step. **Key Responsibilities** * Build, maintain, and optimize platform data pipelines (ETL/ELT), ensuring data integrity, quality, and availability. * Develop and maintain analytical dashboards and reports in BI tools to support product, CRM, marketing, and operations decisions. * Conduct exploratory and descriptive analyses of player behavior—cohorts, funnels, segmentation, LTV, and churn. * Collaborate with Product, CRM, and Marketing teams to define metrics, tracking events, and data requirements for new features. * Implement and validate player behavior tracking, ensuring coverage and accuracy of analytics data. * Build segmentation and predictive analytics models—churn propensity, LTV, RFM—to support retention strategies. * Apply AI and machine learning to identify behavioral patterns, anomalies, and optimization opportunities. * Ensure data governance—data dictionary, pipeline documentation, quality control. * Support A/B testing implementation, including control group configuration and rigorous statistical analysis. * Monitor pipeline and dashboard health, alerting on anomalies or data breaks. * Collaborate with engineering on data warehouse modeling for new platform domains. * Deliver ad hoc analyses for leadership with speed and precision, communicating insights in a decision-oriented manner. Requirements: **What We Expect From You** * Advanced SQL (BigQuery, Redshift, Snowflake) * Python (pandas, numpy, scikit\-learn) * BI tools (Looker, Power BI, Tableau, or Metabase) * Basic dbt and Apache Airflow * Product analytics (Amplitude, Mixpanel) and applied statistics * Minimum 3 years in data analysis or data engineering * Advanced English (for tools and communication with partners) **Nice-to-Have Qualifications That Will Set Your Application Apart:** * Experience in iGaming, fintechs, or high-volume platforms * AWS Data Analytics or Google Professional Data Engineer certifications * dbt or Looker certifications Benefits * iFood Benefits * Health Insurance * Dental Insurance * Commuting Support * Birthday Day Off * *Benefits applicable only to CLT contracts* *If you seek challenges, continuous learning, and wish to stand out by what you deliver, grow with us.* ***We’re excited to meet you!***