At Bellota Labs, we are a fast-paced, hypergrowth startup poised to revolutionize the gaming world with ClubWPT Gold—a groundbreaking product from the World Poker Tour. Driven by innovation, game integrity, and exceptional customer experiences, we are on a mission to set new standards in online gaming. We are now looking for a Senior Data Analyst – Product to join our high-impact Analytics team. In this key role, you will help drive data-informed decisions that directly shape our gaming products, using a mix of deep analytical expertise, predictive modeling, and business intuition. Join us and be part of something big as we redefine the gaming landscape!
Key Responsibilities :
- Lead product analytics efforts focused on optimizing player acquisition, engagement, retention, and monetization
- Write complex SQL queries in Databricks to extract, clean, and analyze large-scale gaming data
- Develop and maintain robust dbt models to deliver analysis-ready datasets
- Build Python-based data pipelines and statistical models for advanced analytics
- Develop predictive models for churn, LTV, and other key behavioral insights
- Apply machine learning techniques for segmentation and personalization
- Conduct time series forecasting and trend analysis to inform product decisions
- Design and analyze A / B tests, applying sound statistical methods and hypothesis testing
- Build intuitive dashboards that track and visualize core gaming KPIs
- Collaborate cross-functionally with data engineers, product managers, and leadership to drive actionable insights
- Communicate complex findings clearly and effectively through compelling storytelling and data visualizations
Experience :
5+ years of hands-on experience in data analysis, with at least 2+ years in product or gaming analyticsDeep expertise in SQL, including advanced query building and optimizationStrong Python skills for data wrangling, visualization, and modelingSolid experience with dbt for data modeling and transformationProficient in Databricks and Delta Lake for scalable data processingFamiliarity with core machine learning techniques such as classification, regression, clusteringStrong foundation in statistics, including hypothesis testing and experimental designProven ability to create dashboards that drive decision-makingExcellent communication skills and the ability to distill complex data into clear business insightsPreferred Technologies (Nice to Have) :
Experience in igaming or gaming analyticsHands-on knowledge of PySpark for distributed data processingFamiliarity with feature stores and automated feature engineeringExperience with Databricks SQL Warehouses and Notebooks200,000 - $250,000 a year
Join
Bellota Labs and take the lead in driving world-class gaming projects to success. If you are passionate about innovation, execution, and making an impact in a fast-growing startup, we would love to hear from you. Your journey in redefining gaming starts here!