About the role
About Punt Punt is a fast-growing social casino brand offering one of the largest game libraries in the sweepstakes gaming space: thousands of slots, live dealer tables, and specialty games. Since launching, Punt has built a loyal, engaged player base and a reputation for a polished player experience, competitive promotions, and responsible gaming practices. As part of a company with a proven track record in the space, Punt is scaling fast, and looking for sharp commercial and analytical talent to help drive that growth.
About the Role We're looking for a Senior Commercial Analyst to act as the analytical backbone across CRM, Marketing, Product, and CX. This role sits at the intersection of data and strategy, translating player behavior, revenue trends, and campaign performance into commercial insight that shapes decisions at the senior leadership level. You'll partner closely with CRM, Marketing, Product, and CX teams, while regularly presenting findings and recommendations directly to senior management and exec stakeholders. This is a high-visibility role suited to someone equally comfortable writing complex SQL as they are framing an insight for a room of execs.
Key Responsibilities Commercial Analysis & Reporting: Own and evolve reporting frameworks covering player lifetime value, segmentation, retention, and revenue performance across the casino portfolio. CRM & Player Segmentation: Support and challenge CRM strategy through data: VIP tiering, RFM-style segmentation, churn/retention analysis, and bonus economy effectiveness. Marketing Performance: Partner with Marketing to measure campaign ROI, acquisition quality, channel performance, and payback periods; help optimize spend allocation across paid, CRM, and affiliate channels. Product Analytics: Work with Product teams to evaluate feature launches, game performance, and player engagement/experience metrics. CX Insight: Analyze customer experience data (support tickets, NPS/CSAT, journey friction points) to identify commercial impact and improvement opportunities. Executive Communication: Prepare and present clear, decision-ready analysis and recommendations to senior management and exec stakeholders, including regular business reviews and ad hoc deep dives. SQL & Data Pipeline Ownership: Write and maintain complex, production-grade SQL queries (Snowflake or similar) to build scalable, repeatable reporting and models; collaborate with Data Engineering on pipeline improvements where needed. Cross-Functional Partnership: Act as the go-to analytical partner for CRM, Marketing, Product, and CX leads, ensuring commercial priorities are grounded in data. Forecasting & Modeling: Contribute to LTV forecasting, cohort analysis, and predictive modeling to support commercial planning. Requirements 5+ years of experience in a commercial, analytics, or BI role, ideally within online gaming, casino, betting, or another regulated, high-frequency-transaction consumer industry. Strong SQL proficiency (Snowflake preferred): able to write, optimize, and troubleshoot complex queries independently. Proven experience partnering with and presenting to senior management/exec-level stakeholders, with the ability to translate technical analysis into clear commercial narratives. Solid understanding of marketing performance metrics (CAC, ROAS, LTV:CAC, channel attribution) and CRM concepts (segmentation, retention, bonus/promo economics). Experience working cross-functionally with Marketing, CRM, Product, and CX teams. Comfortable working with large, messy, real-world data: able to spot and correct for bias, outliers, and distortion in models (e.g., whale effects, seasonal skew). Strong Excel/BI tool skills (Looker, Tableau, Power BI, or similar) for reporting and visualization. Excellent stakeholder management and communication skills: confident presenting to and influencing senior audiences. Nice to Have Python experience for modeling, automation, or advanced analysis. Experience with VIP program design, tiering logic, or player value scoring frameworks. Familiarity with regulatory/compliance considerations in online gaming. Experience building or improving LTV/forecasting models.
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About the role
About Punt Punt is a fast-growing social casino brand offering one of the largest game libraries in the sweepstakes gaming space: thousands of slots, live dealer tables, and specialty games. Since launching, Punt has built a loyal, engaged player base and a reputation for a polished player experience, competitive promotions, and responsible gaming practices. As part of a company with a proven track record in the space, Punt is scaling fast, and looking for sharp commercial and analytical talent to help drive that growth.
About the Role We're looking for a Senior Commercial Analyst to act as the analytical backbone across CRM, Marketing, Product, and CX. This role sits at the intersection of data and strategy, translating player behavior, revenue trends, and campaign performance into commercial insight that shapes decisions at the senior leadership level. You'll partner closely with CRM, Marketing, Product, and CX teams, while regularly presenting findings and recommendations directly to senior management and exec stakeholders. This is a high-visibility role suited to someone equally comfortable writing complex SQL as they are framing an insight for a room of execs.
Key Responsibilities Commercial Analysis & Reporting: Own and evolve reporting frameworks covering player lifetime value, segmentation, retention, and revenue performance across the casino portfolio. CRM & Player Segmentation: Support and challenge CRM strategy through data: VIP tiering, RFM-style segmentation, churn/retention analysis, and bonus economy effectiveness. Marketing Performance: Partner with Marketing to measure campaign ROI, acquisition quality, channel performance, and payback periods; help optimize spend allocation across paid, CRM, and affiliate channels. Product Analytics: Work with Product teams to evaluate feature launches, game performance, and player engagement/experience metrics. CX Insight: Analyze customer experience data (support tickets, NPS/CSAT, journey friction points) to identify commercial impact and improvement opportunities. Executive Communication: Prepare and present clear, decision-ready analysis and recommendations to senior management and exec stakeholders, including regular business reviews and ad hoc deep dives. SQL & Data Pipeline Ownership: Write and maintain complex, production-grade SQL queries (Snowflake or similar) to build scalable, repeatable reporting and models; collaborate with Data Engineering on pipeline improvements where needed. Cross-Functional Partnership: Act as the go-to analytical partner for CRM, Marketing, Product, and CX leads, ensuring commercial priorities are grounded in data. Forecasting & Modeling: Contribute to LTV forecasting, cohort analysis, and predictive modeling to support commercial planning. Requirements 5+ years of experience in a commercial, analytics, or BI role, ideally within online gaming, casino, betting, or another regulated, high-frequency-transaction consumer industry. Strong SQL proficiency (Snowflake preferred): able to write, optimize, and troubleshoot complex queries independently. Proven experience partnering with and presenting to senior management/exec-level stakeholders, with the ability to translate technical analysis into clear commercial narratives. Solid understanding of marketing performance metrics (CAC, ROAS, LTV:CAC, channel attribution) and CRM concepts (segmentation, retention, bonus/promo economics). Experience working cross-functionally with Marketing, CRM, Product, and CX teams. Comfortable working with large, messy, real-world data: able to spot and correct for bias, outliers, and distortion in models (e.g., whale effects, seasonal skew). Strong Excel/BI tool skills (Looker, Tableau, Power BI, or similar) for reporting and visualization. Excellent stakeholder management and communication skills: confident presenting to and influencing senior audiences. Nice to Have Python experience for modeling, automation, or advanced analysis. Experience with VIP program design, tiering logic, or player value scoring frameworks. Familiarity with regulatory/compliance considerations in online gaming. Experience building or improving LTV/forecasting models.