Analytics Manager, Data Science

The Data Science Analytics Manager will be responsible for creating a procedure that allows the company to acquire and manage ticket inventory effectively. Develop and implement analytical methods on inventory assortment, promotions and visual merchandising to improve business performance. Conduct ongoing exploratory data analysis to then build effective models for solving business problems.

 

Specifically…

 

• Analyze pricing & inventory trends across live entertainment – sports, concerts, theatre & family events to provide insights for both ScoreBig internal pricing & partners (teams, leagues, promoters).
• Work with technology team on building the ScoreBig Big Data infrastructure by proving business requirements and use cases.
• Build predictive models & segmentation models to answer key business questions such as:
  • “How do we identify customers with a propensity to buy at full price retail? “
  • “What level of ticket availability & pricing can we expect by season? “
  • “What factors influence a purchase decision on ScoreBig? “
  • “What different ticket buying customer segments exist and what factors drive their ticket purchase decisions how does pricing elasticity vary by season? “
  • Work with product team to both design & analyze optimization (A/B testing) experiments for ScoreBig.com

• EDUCATION: BA/BS in mathematics, economics or a suitable quantitative discipline. Advanced degree is a plus.
• EXPERIENCE: 5+ years of relevant experience in business modeling and management, with extensive experience in quantitative analytical model development and implementation.
• Experience with statistical language (SAS, R, SPSS).
• Strong MS Excel skills, statistical software exposure, SQL experience is required (SQL Server preferred, but Oracle and MySQL are OK).
• Big data infrastructure and ecommerce experience is a plus.
• Excellent verbal and written communicator able to work effectively across the organization. 
• Entrepreneurial drive and demonstrated ability to achieve stretch goals in an innovative and fast-paced environment.
• Possess distinctive problem solving, organizational and analytical skills.
• A self-starter who takes initiative and possess an entrepreneurial spirit.
• Smart and driven individual that knows what needs to be done and operates with a sense of urgency, focus and discipline.
• Able to work well with ambiguity and comfortable dealing with changes and juggling competing priorities.
• Doesn’t understand 9 to 5, passionate about technology and very results oriented.