Director, Product & Commercial Analytics - Sweepstakes Casino

Key Responsibilities

• Own key metrics including LTV, ROAS, payback, retention, player value, profitability, and cohort performance.
• Evaluate acquisition quality, CRM effectiveness, VIP progression, and player lifecycle performance.
• Identify opportunities to improve growth, profitability, retention, and player value.
• Develop frameworks that help leadership allocate resources and investment effectively.
• Partner with Product and Game Operations to evaluate game performance, feature launches, promotions, loyalty programs, jackpots, and personalization initiatives.
• Measure engagement, retention, conversion, and monetization performance.
• Analyze provider, content, and supplier performance to support commercial decision-making.
• Analyze payments, chargebacks, fraud trends, KYC outcomes, redemptions, and operational risk.
• Monitor purchase-to-redemption behavior, redemption velocity, and sweepstakes-specific economics.
• Help distinguish healthy growth from activity that creates financial, operational, or compliance risk.
• Develop forecasting models for acquisition, retention, purchases, redemptions, and profitability.
• Support budgeting, planning, and scenario modeling.
• Build executive reporting and KPI governance frameworks.
• Deliver strategic recommendations that improve business performance.

Qualifications

• 5+ years of experience in analytics, strategy, product analytics, gaming analytics, or related fields.
• Strong SQL and business intelligence experience.
• Ability to translate data into business recommendations and commercial decisions.
• Experience working with senior stakeholders and cross-functional teams.
• Strong analytical, communication, and problem-solving skills.
• Preferred: Experience within Sweepstakes Casino, Online Casino, iGaming, Sports Betting, or Social Casino.
• Experience with player value, retention, CRM, payments, fraud, or promotional analytics.
• Experience with forecasting, experimentation, and statistical analysis.
• Familiarity with Databricks, Snowflake, Power BI, Tableau, Python, or similar analytics tools.