Business Intelligence Analyst

SpinQuest is a social casino platform creating social gaming experiences with innovative currency mechanics. The Business Intelligence Analyst will develop predictive models, advanced analytics, and data-driven solutions to improve player engagement, retention, product performance, and business growth, while partnering with stakeholders across Data Engineering, Product, Marketing, CRM, and Retention.

Responsibilities:

• Lead the development of predictive models and advanced analytical solutions across key areas of the business, including VIP propensity, lapse prevention, player behavior, spike reporting, and economic modelling
• Apply machine learning, AI, statistical modelling, and advanced analytics to identify trends, opportunities, risks, and actionable insights across the player lifecycle
• Partner with Retention, CRM, Product, Marketing, and other internal stakeholders to identify business opportunities and translate complex analytical needs into scalable data driven solutions
• Work alongside Marketing Analyst and other BI resources to establish analytical best practices, improve internal reporting capabilities, and proactively identify opportunities to leverage data across the organization
• Partner closely with Data Engineering and Product leadership to help shape data infrastructure priorities, identify data gaps, develop practical workarounds, and ensure the data environment can support the evolving needs of the business
• Serve as a senior analytical resource across the organization, supporting product roadmap decisions, new product releases, player economics, business performance, and strategic initiatives through actionable insights and modelling

Requirements:

• • Minimum 5 years of experience in gaming, social gaming, sweepstakes, iGaming, or a closely related industry in a BI, analytics, data science, or modelling role, with increasing levels of ownership and responsibility
• • Strong experience with machine learning, AI, predictive modelling, and statistical analysis, with demonstrated success applying these capabilities to complex business problems
• • Proven experience building models around player behavior, VIP propensity, churn or lapse prevention, player value, economic modelling, or similar gaming focused use cases
• • Strong SQL skills and experience with Python or similar analytical programming languages, along with experience working with BI and data visualization tools
• • Exceptional analytical and problem solving skills with the ability to operate independently, navigate ambiguity, identify opportunities, and develop practical solutions without requiring detailed direction
• • Experience working in a startup or high growth environment is strongly preferred, with experience at a social gaming or large sweepstakes company highly valued