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Company | Spurs Sports and Entertainment |
Address | , San Antonio, 78219 |
Employment type | PART_TIME |
Salary | |
Expires | 2023-11-30 |
Posted at | 8 months ago |
Overview:
**This is classified as a seasonal, part-time position, and will end once the season is over**
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:
Nothing contained in this job description is intended to be a contract of employment, nor does any information contained herein represent a guarantee of employment for a specific duration. Your employment with SS&E is “at will”, which means that either you or SS&E may terminate the relationship at any time.
The Ticketing Data Science Representative will be responsible for the design, implementation, and reproducibility of end-to-end data science solutions (data collection/processing, visualization, analysis, modeling, deployment/communication) to support the Ticket Operations department. This opportunity will provide the selected candidate with a wide understanding of how professional sports organizations apply data to make decisions regarding revenue generation and customer experience.
**This is classified as a seasonal, part-time position, and will end once the season is over**
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.
- Demonstrate the ability to collect/clean/store/manage data, perform data exploration/analysis/modeling, and communicate insights to non-technical shareholders.
- Collaborate with various departments on assigned ticketing projects and perform ad hoc analysis.
- Other duties as assigned.
- Develop or refine the processes currently used by Ticket Analytics to ensure that high-quality results are achieved.
- Strong analytical and problem-solving skills
- Ability to demonstrate professionalism and be proactive in communication with the Ticketing Analytics team
- 100% of work can be done remotely
- Proficiency in Python or R required
- Proficiency in Microsoft Office, SQL, BI visualization tools (Tableau/Power BI/etc.) preferred
- An undergraduate or graduate degree in business analytics, computer science, statistics, mathematics, economics or other closely related technical field preferred.
- Excellent verbal and written communications skills
- Display a passion for working with data and exhibit enthusiasm for learning new concepts
*SS&E is an Equal Opportunity Employer*
Nothing contained in this job description is intended to be a contract of employment, nor does any information contained herein represent a guarantee of employment for a specific duration. Your employment with SS&E is “at will”, which means that either you or SS&E may terminate the relationship at any time.
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