Jobs at Fanatics

Manages a team of 2–3 analysts while remaining hands-on with advanced SQL, dbt models, dashboards, and complex cross-functional analyses. Owns analytics quality, reporting automation, KPI visibility, stakeholder recommendations, and AI enablement for operations. Coaches team members, prioritizes requests, partners with data teams, and presents findings to senior leadership. The role requires strong analytical judgment, technical review skills, stakeholder management, and experience supporting operational functions such as customer support, fraud, payments, and workforce management.

Supports the in-play sportsbook trading team by overseeing trader issues, analyzing data, interpreting probabilities, monitoring live odds and market efficiency, testing sportsbook features and trading models, and contributing to automation and AI initiatives. The role collaborates with Commercial, Marketing, Quants, Product, Engineering, Sports, and Operations teams to improve customer-focused betting strategies and experiences. Flexible evening, weekend, and holiday availability is required, along with full-time office work in Denver.

Executes high-volume CRM campaigns across email, push, and in-app channels. Builds and QA tests campaigns, manages audience selection, personalization, scheduling, deployment, creative workflows, and legal approvals. Monitors live sends, resolves customer issues, maintains campaign documentation, and improves operational processes. Coordinates with Creative, Legal, Promo Operations, and Customer Service while using automation and AI tools to improve efficiency.

Partners with senior Engineering leaders on organizational design, leadership coaching, employee relations, talent strategy, workforce planning, and people programs. Supports employee integrity initiatives, M&A integration, AI adoption, people analytics, succession planning, and organizational culture across technical and security-focused teams. Handles sensitive investigations and cross-functional HR initiatives in regulated, globally distributed environments.

Drive strategy and continuous improvement for GenAI customer-service agents and CX copilots. Analyze conversation data, customer and agent feedback, and operational metrics; prioritize AI roadmap initiatives; define evaluation standards; support prompt, knowledge-base, and testing strategies; run pilots; and translate technical findings into business cases and executive narratives while coordinating engineering, product, CX, compliance, legal, fraud, and payments stakeholders.

Make markets and manage risk across sports and financial prediction contracts. Develop real-time pricing models, productionize automated trading strategies, monitor exposures and model performance, identify market-taking opportunities, manage forecasting and P&L reporting, and collaborate with quant, product, engineering, and compliance teams to launch new markets. Mentor junior traders and help establish trading desk processes.

Lead sportsbook acquisition strategy and optimization across the customer funnel, from awareness through day 14. Own cohort growth, customer value, incentives, personalization, experimentation, forecasting, and executive reporting. Use behavioral data, cohort analysis, predictive models, LTV, and commercial analytics to improve acquisition ROI, retention, monetization, and NGR. Collaborate with CRM, Media, Promotions, Analytics, Product, VIP, and gaming teams to develop cross-sell and ecosystem strategies across sportsbook, casino, prediction markets, and free-to-play products.

Develop and test mathematical models for sports betting pricing and risk management. Collect, clean, and analyze sports and betting datasets to identify trends and inform trading strategies. Use Python, C#, R, or C++ to build quantitative models and automate analysis. Collaborate with senior quants, traders, engineers, and product managers, document methodologies, and communicate findings. This hybrid role requires working two to five days weekly in the Denver office.

Make markets and manage risk across sports and financial prediction contracts. Develop real-time pricing models, integrate them into production trading systems, monitor and improve model performance, identify market-taking opportunities, and implement automated trading strategies. Collaborate with product, engineering, quant, and compliance teams to launch new markets and contract types. Flexible working hours are required to align with global sporting schedules.

Leads the Marketing Analytics function and team, setting strategy, operating models, measurement frameworks, and analytics priorities. Advises executives on customer acquisition, marketing investment, and commercial strategy through actionable insights. Oversees experimentation, KPI reporting, data quality, governance, AI adoption, and cross-functional collaboration with Marketing, Product, Finance, Operations, Data Science, and Engineering.