Director, Advanced Analytics

The Director of Advanced Analytics will lead the advanced analytics team, supporting business operations through strategic initiatives by using descriptive, diagnostic, predictive, and prescriptive analytics. In addition, they will oversee and lead business intelligence, machine learning (ML) and artificial intelligence (AI) efforts. This role is responsible for managing projects that drive revenue, enhance the fan experience, and optimize organizational operations.

Key responsibilities include overseeing reporting operations, business intelligence solutions, and ML and AI initiatives. The Director will collaborate with all departments to enable a data-driven culture across the organization, ensuring data is leveraged effectively to achieve strategic objectives.

ESSENTIAL FUNCTIONS (including, but not limited to):
Director of Advanced Analytics will have responsibilities including, without limitation, the following:

• Oversee all projects and staff within the Advanced Analytics department
• Research, evaluate, and implement best-in-class solutions for descriptive, diagnostic, predictive, and prescriptive analytics across different business units
• Oversee business intelligence, machine learning (ML), and artificial intelligence (AI) efforts
• Collaborate with department heads to leverage data sources in achieving their objectives
• Own and implement all reporting solutions for all business departments
• Assist the data operations team with the fan data platform, including the incorporation of new sources and enabling all departments to leverage the platform effectively
• Develop presentations and reports for leadership based on current business objectives
• Oversee pricing, forecasting, lead generation, and projections to support revenue teams.
• Manage the centralized analytics hub, serving as a key resource for all departments
• Partner with internal departments to improve reporting and ensuring accuracy of reports
• Provide modeling and data science solutions for key business decisions
• Lead the implementation and oversee the ongoing operations of the Analytics War Room project, ensuring its effectiveness as a strategic decision-making hub

NONESSENTIAL FUNCTIONS:

• Conduct regular meetings with staff to track progress on initiatives
• Will be motivated, reliable, and able to work independently or as part of a team
• Outgoing and ambitious, looking to be a solution provider and help assist other teams
• Maintains professionalism when communicating with internal and external contacts
• Will accurately and efficiently meet deadlines while maintaining a strong attention to detail
• Will gather and analyze information to develop solutions quickly and effectively
• Adaptable, persuasive and demonstrate ability to solve problems                                                                   
• Developed influencing skills and work successfully in cross functional teams
• Will adjust work schedule to meet departmental demands
• Will accept other responsibilities and duties required by the supervisor consistent with the
  objectives and essential functions of this position.

QUALIFICATIONS / REQUIREMENTS:

• Bachelor’s or MBA degree in Business, Computer Science, Statistics or related field required
• Minimum of 8 years of experience in business intelligence, analytics or related experience
• Minimum of 3 years of management experience  
• Proficient in Python for data management and data science
• Proficient in SQL and using it within the context of an enterprise data warehouse                                                                                                                                          
• Experience with simulation methods for forecasting
• Firm understanding and experience with statistical modeling and causal analysis
• Experience with data visualization software, including Qlik Cloud and Sigma
• Experience with Snowflake or similar data warehouse technologies
• Proficient in leveraging cloud computing platforms such as AWS, GCP, and/or Azure
• Experience using APIs, web services, and automating tasks
• Preferred experience with Ticketmaster ticketing platform
• Experience with Facebook Ads Manager, Google Analytics, DV360 and LinkedIn Marketing
• Experience building detailed presentations for senior leadership utilizing PowerPoint
• Experience working with large volumes of data and cleansing data for analysis
• Experience in professional sports, particularly business strategy is preferred
• Ability to apply knowledge on predictive modeling, time series analyses, machine learning to solve large scale business problems, to research and create cutting edge solutions.
• Knowledge of fundamental concepts of ticketing, corporate partnerships, suites, marketing, and finance departments operations