As part of our Cinemark Universe, you'll discover fun opportunities with real growth potential and plenty of perks. With 500+ theatres and nearly 6,000 screens; we're truly a global presence of 20,000 movie lovers working together to make unforgettable experiences.
Role Summary:
Summary:
The Data Science Manager designs Cinemark's pricing strategy by leveraging data science and analytics power while incorporating partner team objectives to ultimately deliver value for our customers. You will use qualitative and data analytics to design strategy and actions and champion cross functional initiatives.
Responsibilities:
Champion cross functional initiatives with Marketing, Data Science & Engineering, Merchandising, Operations, and other departments to translate pricing data and analytic insights into actionable business processes.
Able to manage sophisticated analytical exercises to drive actionable insights, outcome, and business decision-making in the fields of Pricing and Promotions.
Work across business leadership, internal stakeholders, engineering, and data science to define and support strategic competitive intelligence and pricing priorities.
Define, document processes ensuring business continuity while gaining efficiency in the processes
What You Will Need to Have:
6+ years of related work experience and demonstrated track record of innovation and impact.
MBA or advanced degree in Statistics, Mathematics, Computer Science, Economics, Engineering, Finance, or related disciplines.
Strong analytical skills & creative problem solver that can turn data into actionable insights - ability to run analyses on large data sets and build complex analytical models, advanced skills with SQL, Python, Data Visualization tools and statistical tools.
Experience with pricing best practices, price promotion and demand elasticity models.
Strong business acumen with a passion for managing recurring pricing tasks while building automation for pricing features and capabilities.
Bias for action - both strategically and tactically.
High attention to detail and proven ability to manage multiple, competing priorities simultaneously. Ability to quickly adapt to changing priorities and generate innovative solutions in an extremely fast-paced environment.
Experience with customer segmentation and customer behavior analysis.
Proven cross-functional leadership experience with the ability to develop teams and lead them to success.