Requirements

• 2+ years of experience in product, web, or data analytics;
• Strong SQL skills and experience working with large datasets;
• Experience with web analytics and event-based tracking;
• Understanding of product funnels, conversion metrics, and user behavior analysis;
• Experience with data validation, reconciliation, and data quality control;
• Ability to build dashboards and translate data into actionable insights;
• Good understanding of ETL processes and data structures.

Will be plus:

• Experience in iGaming, fintech, or other high-load digital products;
• Experience with fraud, bonus abuse, or suspicious user behavior analysis;
• Knowledge of A/B testing and experiment analysis;
• Experience with BI tools such as Tableau, Power BI, or Looker;
• Familiarity with Python for analytical tasks;
• Experience working with clickstream data.

Responsibilities

• Control of tracking completeness and event data quality across the website;
• Analysis of key product funnels and user behavior;
• Identification of UX friction points and growth opportunities;
• Monitoring of data quality and investigation of discrepancies across sources;
• Analysis of suspicious user behavior and abnormal activity patterns;
• Preparation of dashboards, reports, and analytical findings for product teams;
• Documentation of metrics, event logic, and data definitions.