Senior Data Analyst - Entertainment & Pop Culture

Senior Data Analyst - Entertainment & Pop Culture Location: Remote (US or Canada) Full-Time | Reports to COO About Goss Goss is a prediction-driven social gaming platform that turns pop culture, social media, and entertainment moments into real-time prediction markets. We make cultural signals tradable—with the same rigor found in advanced prediction markets. Role Overview We're seeking a Senior Data Analyst to set our analytics strategy, develop predictive models, and turn data into decisions that drive user growth, engagement, and monetization. You will collaborate cross-functionally with trading, product, marketing, and leadership to uncover insights and implement them. What You'll Own • Pricing Architecture & Economy Balancing - Analyze and optimize currency/prize pricing and promotional structures • User Segmentation - Develop personas, define segmentation criteria, and establish engagement thresholds • Market Making Support - Assist in creating lines and refining pricing algorithms • Marketing Analysis - Assess cohorts, attribution, and performance (including Facebook/paid channels) • Reporting Infrastructure - Create automated dashboards tracking daily, weekly, and monthly KPIs • Real-Time Optimization - Develop systems to enhance engagement and monetization instantly • Predictive Modeling - Conduct churn prediction, LTV modeling, and progression forecasting • Fraud Detection - Create systems to identify suspicious prediction patterns • Advanced Analytics - Develop A/B testing frameworks, cohort analytics, and revenue optimization strategies • Market Intelligence - Perform competitive analysis and identify industry trends What You Bring • 3+ years of experience in mobile gaming, social casino, or prediction analytics • Strong SQL skills for complex data manipulation and analysis • Proficiency in Python for modeling, automation, and statistical tasks • Experience in dashboarding tools (Quicksight, Tableau, Looker, Power BI, etc.) • Knowledge of A/B testing, regression models, and segmentation techniques • Understanding of gaming retention, monetization, and lifecycle mechanics Bonus Points • Experience in prediction markets or prediction-related industries • Knowledge of sweepstakes or social casino operations • Fraud-detection analytics experience • Experience with real-time analytics or streaming pipelines • Entertainment or pop culture analytics expertise • Machine learning skills • Track record of scaling analytics teams Why Join Us • Meaningful equity as an early team member, providing a direct stake in our future success and a chance to build significant wealth as we scale. • Competitive compensation through a blend of base salary and performance bonuses designed to rival established players in the betting industry • High-growth environment reward within a fast-paced, results-oriented startup culture with clear, performance-based incentives that go beyond just a paycheck Application Instructions Include a brief written response covering: • Your experience with gambling, trading, or pricing markets • Your relationship to pop culture, viral content, or entertainment data • Why this space excites you