Senior Data Analyst

• Professional experience in the gambling industry: deep understanding of market trends, standards and requirements.
• High-level analytical thinking: ability to find patterns in complex data sets, interpretation of large amounts of data to make strategic decisions.
• Database experience: excellent knowledge of SQL; experience with MongoDB is an advantage.
• Programming and data analysis: proficiency in Python/R and complex data analysis libraries (pandas, NumPy, SciPy).
• Statistics and mathematics: high level of knowledge and experience in applying statistical methods.
• Experience in conducting complex tests: development and analysis of A/B, A/B/n, A/A tests for product optimization.
• Machine learning: advanced knowledge of algorithms and experience in their implementation to improve the product.

Requirements

• Development of analytical models: models development and implementation to optimize business processes in the gambling context.
• Strategic data analysis: in-depth data analysis to understand and predict trends in the gambling industry.
• Cooperation with other departments: working closely with marketing and product departments to optimize strategies and campaigns.