Note: The job is a remote job and is open to candidates in USA. Pentasia is partnering with a high-growth online sweepstakes business entering its next phase of expansion. They are seeking a Director of Product & Commercial Analytics to influence strategic decisions and help shape product strategy and overall business success.
Responsibilities
- Own and optimise key business metrics including LTV, ROAS, retention, profitability, player value and cohort performance
- Evaluate acquisition quality, CRM effectiveness, VIP performance and player lifecycle activity
- Develop frameworks that support investment and resource allocation decisions
- Partner with Product and Operations teams to assess game performance, promotional effectiveness, loyalty initiatives and personalisation strategies
- Analyse engagement, conversion, retention and monetisation metrics
- Support commercial decision-making through supplier and content performance analysis
- Analyse payments performance, fraud trends, chargebacks, KYC outcomes and redemption behaviour
- Evaluate sweepstakes economics and identify indicators of operational or compliance risk
- Help ensure growth remains healthy, scalable and sustainable
- Build forecasting models across acquisition, retention, revenue and profitability
- Support budgeting, planning and scenario analysis
- Develop executive reporting frameworks and KPI governance processes
- Deliver strategic recommendations that directly impact business performance
Skills
- 5+ years of experience within analytics, strategy, product analytics, gaming analytics or a related field
- Strong SQL and business intelligence expertise
- Proven ability to translate complex data into commercial decisions
- Experience partnering with senior stakeholders and cross-functional teams
- Excellent communication, analytical and problem-solving skills
- Experience within Sweepstakes, Social Casino or iGaming
- Knowledge of player value modelling, CRM analytics, payments, fraud or retention
- Experience with forecasting, experimentation and statistical analysis
- Familiarity with tools such as Snowflake, Databricks, Power BI, Tableau or Python
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