Manager – Fan Analytics
| Company | TKO Group Holdings, Inc |
|---|---|
| Location | Stamford, CT, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Mid Level, Senior |
Requirements
- Bachelor’s degree
- 4+ years of related experience in Analytics
- Exceptional written and verbal communication skills, with ability to translate complex data into actionable insights and communicate them clearly and confidently to internal stakeholders.
- Experience with Business Intelligence tools (e.g. Tableau, Power BI), cloud data warehouses (Snowflake preferred), and SQL.
- Experience extracting, analyzing and interpreting data from multiple sources to drive business improvement.
- Proven track record of identifying and highlighting key insights, signals, and trends deep within the underlying data.
- Ability to manage large scale analytics projects involving multiple stakeholders including various business units and technology partners.
- Advanced Microsoft Excel and PowerPoint skills.
- Able to synthesize and communicate complex qualitative and quantitative data using data visualization.
- Ability to work in a fast paced, dynamic environment and handle multiple projects simultaneously.
Responsibilities
- Support all functions of TKO’s Direct-to-Consumer Live Events and Consumer Products verticals, including business units such as Ticket Sales, E-commerce, and Fan insights.
- Perform ad-hoc analyses and develop observations, insights and recommendations on a weekly basis
- Assist in the coordination of data collection and validation, which may include contacting various vendors/agencies outside the company to resolve questions, inconsistencies, or obtain missing data; responsible for data quality and integrity.
Preferred Qualifications
- Experience with Digital Analytics Platforms (e.g. Google Analytics, Adobe Analytics)
- Live Events/Ticketing and or major sports league experience a plus
- Experience with Business Intelligence tools (e.g. Alteryx, etc.), other Visualization and Dashboarding tools or advanced data analytics tools (e.g. SAS, R, Hadoop, Python, etc.)
- Experience with Location intelligence platforms (Alteryx,ESRI, etc.)
- Experience in retail or e-commerce industries