Sr. Director, Business Analytics
- Lead the development and refinement of dynamic pricing strategies across ticketing, premium seating, and experiences.
- Collaborate with ticketing, premium, and sales leaders to create pricing models that maximize revenue while enhancing fan accessibility and satisfaction.
- Build predictive models to forecast sales, demand elasticity, and ROI of pricing and promotional strategies.
- Build and operationalize advanced predictive models (e.g., churn, demand, lifetime value, segmentation) to inform marketing, sales, and retention strategies.
- Identify key business questions and provide actionable recommendations based on data analysis and modeling.
- Partner with marketing teams to enhance targeting, personalization, and fan engagement strategies using data science tools.
- Develop dashboards, reports, and tools that empower business units with real-time visibility into KPIs and performance metrics.
- Present analytical findings to senior leadership in a compelling, visual, and actionable format.
- Translate complex data into strategic insights that drive revenue, fan satisfaction, and operational efficiency.
- Collaborate closely with Ticketing, Marketing, Partnerships and Finance teams to integrate analytics into business planning and execution.
- Provide thought leadership and act as an internal consultant to help departments utilize data more effectively.
- Work with the VP of Business Strategy & Analytics to align analytics priorities with enterprise goals.
- Lead, coach, and develop a team fostering a culture of innovation, curiosity, and continuous learning.
- Oversee project management, analytics roadmaps, and ensure timely, high-quality delivery of analytical solutions.
- Promote collaboration and professional development across the Business Strategy & Analytics function.
- Ensure effective use of BI and analytics platforms (e.g., Tableau, Power BI, SQL, Python/R, Snowflake) for reporting and modeling.
- Partner with IT and data engineering to maintain scalable, integrated, and secure data infrastructure.
- Recommend and evaluate new technologies, tools, and data sources that can enhance analytical capabilities
- 10+ years of experience in analytics, pricing, or business intelligence, preferably in sports, entertainment, or consumer-facing industries.
- 5+ years of experience leading analytics teams and delivering high-impact, executive-facing insights.
- Proven experience in pricing strategy, forecasting, and predictive modeling using tools such as Python, R, or SAS.
- Deep understanding of data visualization, business intelligence platforms, and data storytelling techniques.
- Strategic thinker with strong business acumen, communication skills, and a passion for using data to solve business problems.
- Experience working cross-functionally and influencing at all levels of a matrixed organization.
- Bachelor’s or Master’s degree in Data Science, Business Analytics, Economics, Statistics, or related field.
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