Product Analyst

Higher education in mathematics, statistics, computer science, or related technical field. Strong knowledge and practical experience with mathematical statistics and probability theory. Proficiency in data extraction, processing, analysis, and visualization tools such as BigQuery, Python, Tableau, SuperSet, and Excel. Solid experience in running and analyzing A/B tests. Understanding of key product and marketing metrics (LTV, CPA, Retention, CR, etc.). Product thinking: ability to interpret user behavior through metrics and understand product impact. Systems thinking: can reason from the general to the specific and vice versa. Critical thinking: questions data quality and decisions, performs cross-checks. Effective communication: Uses storytelling and data-driven arguments; Explains complex concepts clearly; Structures conclusions with actionable recommendations; Presents and defends analytical findings confidently. Independence and responsibility: proactively identifies growth opportunities, owns results, and ensures completion of tasks. English proficiency: B2 level or higher.

Identify causes of changes in business process dynamics. Analyze user behavior and discover hidden patterns in data. Evaluate A/B test and experiment results. Participate in product development and strategy discussions. Assess potential impact of proposed changes on key metrics. Create and maintain clear, up-to-date dashboards and reports.