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
$200,000 - $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!