Director of Data Analytics

Essential Duties

• Responsible for the day-to-day reporting and analytic needs of the organization by ensuring data accuracy, building visualizations, designing reports, and dashboards.
• Use data insights to create a narrative around partners' ticket markets.
• Serve as an internal consultant on the use of data and analytics.
• Partner with cross-functional teams to achieve goals and identify data-driven opportunities.
• Utilize internal and external data and systems to establish an understanding of market behaviors and information.
• Execute ad-hoc projects, analyses, special assignments, and related tasks as needed or requested.
• Collaborate and maintain effective communication with external consultants to ensure project alignment, timely deliverables, and successful outcomes.
• Create and maintain standard operating procedures.
• Keep up to date on industry trends and news.

Prerequisite Knowledge, Skills, and Abilities

• 6+ years of data analytics experience; sports and entertainment industry experience preferred, but not required.
• Bachelor’s degree in a related field, or equivalent experience.
• Strong knowledge of and interest in sports and live entertainment.
• Highly organized and detail-oriented.
• Excellent time management skills.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively at all levels.
• Maintains a positive, success-oriented attitude while upholding integrity, confidentiality, and discretion.
• Ability to work a flexible schedule as needed.
• Ability to manage multiple tasks and priorities in a fast-paced environment.
• Ability to meet deadlines.
• Ability to work independently with minimal supervision.
• Ability to think strategically and analytically with strong motivation and drive.
• Ability to work collaboratively with cross-functional teams and stakeholders across the organization.
• Strong communication and presentation skills, with confidence in leading conversations.
• Proficient in Microsoft Office Suite, including PowerPoint, Excel, Word, and Outlook.
• High proficiency with Excel, including ability to build complex spreadsheet models, run pivots, macros, v-lookups and other advanced functions.
• Strong quantitative, financial modeling skills, including exposure to SQL and relational databases; demonstrated ability to design and implement statistical models in R and/or Python preferred but not required.
• Ability to deliver both a detail-oriented analyst and executive-level strategy.
• High proficiency in creating data visualizations with least one BI reporting platform (Tableau, Power BI, etc.).
• Knowledge of data warehousing.