Senior Data Analyst for AI product
We are your trusted AI partner, helping iGaming platforms and operators increase player engagement and revenue. With years of experience and deep knowledge of the iGaming industry, we offer tailored solutions that cater to your platform’s unique needs and local market specifics.
Our flagship products, the Player Behavior Engine and Lobby Engine, use advanced AI and machine learning models to provide deep insights into player behavior and deliver personalized game recommendations.
Player Behavior Engine helps you develop detailed player behavior segmentation, spot both positive and negative player activities, and implement personalized actions to enhance player experience and boost revenue.
Our Lobby Engine uses advanced AI recommendation models to deliver highly personalized game suggestions directly on the main page. This ensures each player discovers the most relevant games.
Role overview:
In this role, the Data Analyst will analyze complex datasets to uncover insights, build hypotheses for product improvements, and support decision-making through data transformation, A/B test analysis, and creating dashboards in Tableau.
Responsibilities:
- Data discovery, build hypotheses for product improvement
- Write scripts for data transformation
- Analyze A/B-tests
- Develop analytical dashboards in Tableau
Qualifications:
- 3+ years of working experience as a data or product analyst
- B1+ level in English
- Strong SQL skills for data analysis
- Python for data processing and visualization
- Ability to analyze, structure, and present complex information
Preferred qualifications:
- Experience with iGaming
- Experience with AWS
- Knowledge of statistics and probability theory
- Experience in the practical use of BI tools (Tableau, Power BI or any other BI tool)
Benefits:
- Education budget of $600 per year provided
- Technical Equipment
- Professional English courses
- Medical Insurance
Interview process:
- Recruiting Interview (25 mins)
- Technical Interview (60 mins)
- Interview with CPO & CEO (30 mins).