Manager Business Analytics

Job Description

Overview

At Spurs Sports & Entertainment (SS&E), we work in service of something bigger than ourselves, it's so much more than the game or concert itself. It takes all members of our Spurs Family to harness the power of sports and entertainment to create memories that endure, memories that excite, and connections that strengthen our community. We are a values-based company committed to creating an innovative, fan-first culture where our employees thrive. By making every decision through the lens of our core values of Integrity, Success, and Caring, we have become the premier destination for dynamic entertainment in the South Texas region.

We are looking for a dynamic Manager of business analytics to join our team! In this role, you will work across departments to turn data into useful insights by maintaining the business operations data warehouse, and accompanying platforms such as the Customer Data Platform, as well as leading all aspects of deployment of statistical tools and data mining techniques to drive insights and data operations. A successful candidate will lead the development and maintenance of data flows, transformation of data into useful tables, oversight of business intelligence as well data science practices for business operations. Does this sound like a fit for you? If so, we want to hear from you!

In every position, each employee is expected to: Demonstrate Alignment with SS&E's Core Values and Mission, Collaborate with Internal/External Family Members and Demonstrate Ongoing Development.

Responsibilities
• Maintain our data warehouse and affiliated ETL processes.
• Coordinate data science initiatives including demand projections, behavioral forecasting, and price optimization.
• Manage our customer data system development and adoption to empower sales and marketing teams.
• Grow the organization's access to insights through Business Intelligence tools.
• Support data solutions via development of data workflows powering CRM and Marketing Automation tools to improve customer experience.

Qualifications
• 5+ years experience in data engineering, computer science, mathematics, data analytics or related field
• Bachelor' degree or advanced degree in business, mathematics, or the sciences
• Proficiency in Python or R, and experience working with REST APIs
• Experience with Jenkins or other task scheduler preferred
• Ability to apply perform statistical analyses to build predictive models
• Proven knowledge in the use Business Intelligence tool such as Tableau
• Expert knowledge in use of Structured Query Language (SQL)
• Ability to prioritize multiple tasks and support multiple high level positions
• Professionalism to handle sensitive and confidential situations and information
• Expertise with Microsoft Excel, Office, Word
• Strong teamwork aptitude required
• Proven ability to tell a story with numbers/data
• Flexible schedule with ability to work some nights, weekends, and holidays

Jobcode: Reference SBJ-rjwqqw-3-14-253-221-42 in your application.