Analytics Lead

This role owns the Analytics function end-to-end and combines strategic leadership with hands-on analytical work. From data quality and experimentation design to insight translation and the impact of decisions on existing products and the development of new ones.

Responsibilities:

• Lead and develop the Analytics team, ensuring high performance, clear ownership, and consistent delivery
• Actively drive data discovery, experimentation, and A/B testing
• Personally contribute to and review complex analytics work, ensure high standards of data quality, analytical correctness, and code quality across all analytics work
• Define analytics priorities and contribute to planning in collaboration with Product Managers & Project Managers
• Continuously improve analytics tools and processes, combining hands-on problem solving with building scalable, repeatable solutions to increase impact and efficiency
• Collaborate closely with Product Managers, ML Engineers, and Data Engineers across the full product lifecycle

Qualifications:

• Experience: 
  • 5+ years of experience in data/product analytics, or applied data science
  • At least 1 year of experience leading an analytics team (mandatory)
  • Strong, hands-on experience in online casino / iGaming domain (mandatory)
• Leadership & Collaboration: 
  • Proven ability to take ownership of analytics outcomes and influence decisions
  • Ability to explain complex analytical findings to non-technical audiences
  • Experience mentoring analysts and managing team performance
  • Strong prioritization under uncertainty
• Data & SQL: 
  • Strong SQL skills, including complex queries, joins, and aggregations
  • Experience working with large analytical datasets
  • Ability to collaborate with Data Engineers on data models, quality, and metrics
• Analytics & Experimentation: 
  • Strong proficiency in Python for analytics (pandas, numpy, scipy)
  • Solid knowledge of statistics, hypothesis testing, and experimental design
  • Hands-on experience running and analyzing A/B tests
  • Strong skills in data discovery and exploratory analysis
• BI & Visualization: 
  • Experience with Tableau or other BI tools (Looker, Power BI, etc.)
  • Ability to build dashboards that clearly explain product and player performance
  • Understanding of best practices in data visualization
• ML / Data Science (will be a plus): 
  • Practical experience building models, including clustering and prediction models
  • Familiarity with libraries such as scikit-learn, XGBoost, LightGBM, PyTorch, etc.
  • Understanding of model evaluation and validation
  • Translating ML insights into actionable recommendations

Interview Process:

1. Intro Interview - 30 min
2. Technical Interview - 1 hour
3. Leadership Interview - 1 hour
4. Introduction with CEO - 30 min

Benefits:  

• 21 day of paid vacation per year
• Medical Insurance
• Education budget of $600 per year provided
• Professional English courses