• Analyze data from mobile games to track player behavior, game performance, and business KPIs. • Generate actionable insights to improve user engagement, retention, and monetization strategies. • Design and execute A/B tests tracking to assess the impact of game updates and new features. • Collaborate with game designers, product managers, and marketing teams to inform data-driven decisions. • Build and maintain dashboards to track in-game performance metrics. • Use SQL to write complex queries and extract data from various sources. • Present data findings to stakeholders, making recommendations based on your analysis. • Monitor trends and emerging patterns within game data, identifying opportunities for optimization.

• Lead large, handles complex analytics and reporting projects, delivering accurate, accessible, and repeatable business reporting and insights to stakeholders across all levels. • Possesses comprehensive knowledge in the business and data landscape, standardized reporting, experimentation, and analysis to support performance discussions across multiple channels. • Proactively help the business leverage data and insights to enhance our ability to inform on event management efforts and increase the efficacy of our approaches. Provide rhythm of the business analytics support, actionable insights, and recommendations to optimize and scale flagship events. • Apply a customer/stakeholder-oriented focus and user experience design best practices to ensure data analysis is easily consumable through visualization, presentation, and storytelling. • Working with technical team on technical requirements to enable data availability, data quality, transformations, and integrity for analytics and wider business self-service usage. • Execute data analysis using multiple data sets and sources. Lead discussions interpreting results and connecting them to relevant business context. Provide actionable recommendations to optimize business investments in a way that can be repeated and scaled as needed. • Define, build, and maintain performance metrics, dashboards, and analysis. Provide relevant information in an automated, self-service, and efficient manner to enable business optimization and tracking. • Provides coaching, and/or mentoring to other members of the group and act as a data analytics lead.

• Аналіз ринку, конкурентів, пошук та перевірка продуктових гіпотез • Участь в розробці ML-алгоритмів спільно із командою DS, аналіз внутрішніх даних продукту та пошук можливостей для його оптимізації • Участь у комбінуванні та тестуванні LLM-моделей, написання промптів • Робота з документацією: підготовка та підтримка технічної документації й навчальних матеріалів

• Completing research and evaluation tasks in a web-based environment • Verifying and comparing data • Determining the relevance and accuracy of information • Following provided guidelines for each task