Senior Data Analyst – Product

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 analytics
• Deep expertise in SQL, including advanced query building and optimization
• Strong Python skills for data wrangling, visualization, and modeling
• Solid experience with dbt for data modeling and transformation
• Proficient in Databricks and Delta Lake for scalable data processing
• Familiarity with core machine learning techniques such as classification, regression, clustering
• Strong foundation in statistics, including hypothesis testing and experimental design
• Proven ability to create dashboards that drive decision-making
• Excellent communication skills and the ability to distill complex data into clear business insights

Preferred Technologies (Nice to Have):

• Experience in igaming or gaming analytics
• Hands-on knowledge of PySpark for distributed data processing
• Familiarity with feature stores and automated feature engineering
• Experience with Databricks SQL Warehouses and Notebooks

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!