![Parques Reunidos](https://media.trabajo.org/img/noimg.jpg)
Head of Revenue Management Growth
hace 1 semana
With 50 years' experience, it owns and operates more than 60 parks across Europe, North America, the Middle East and Australia.
We are currently looking for a:
Head of Revenue Management Growth & Optimization
Roles & Responsibilities:
Roles & Responsibilities
- Leading the Data and
Business Transformation:
Oversee the transformation of the RM ecosystem by providing valuable insights derived from data analysis.
- Algorithm Development and Prototyping: Develop and prototype algorithms for analyzing company data, thereby aiding in decisionmaking processes.
- Data Modeling and Visualization: Create data models and visualizations to represent complex business scenarios and datadriven insights.
- Business Implementation of
New Technology:
Lead the implementation of new models AI/ML tools within the business to enhance data analysis capabilities.
- Revenue Optimization: Work towards AI/ML optimizing revenue through strategic pricing decisions and volume control. This includes improving pricing strategies, promotions, and optimizing maximum total revenue.
- Cross-
Functional Collaboration:
Collaborate with diverse teams and departments to understand business performance through insights and analytics across the company.
- Work from scratch with unstructured raw data and efficiently develop a structured utilization of the processed data
- Other tasks include: providing support for urgent analytic needs, collecting data and identifying the source of the data's inception. Mining and extracting valuable data from various data sources
Requirements:
Education:
- Degree in computer science, computer engineering, Business Information Systems, Mathematics, Statistics, Information Management, or equivalent experience with Data Science.
Languages:
- Spanish: Fluent (B2 minimum, C1 preferred)
- English: Fluent (B2 minimum, C1 preferred)
Computer Skills:
Experience:
- Minimum of 2 years of professional experience in related position required.
- Exceptional analytical and conceptual thinking skills.
- Knowledge of data treatment, analysis and visualization tools.
- Experience creating detailed reports and giving presentations.
- A track record of following through on commitments.
Others:
- Experience to develop and to implement machine learning process will be considered as a plus.
- Experience on Agile, Scrum, Kanban.
- Highly organized and able to multitask and prioritize effectively.
- Excellent verbal, written, listening, and interpersonal skills.
- Knowledge of programming languages.
- Effective Communication: Carefully listening to management, data analysts and relevant staff to come up with the best data design; explaining complex concepts to nontechnical colleagues.
- Good experience with, or a good understanding of, Data Analysis best practices.
- Do not miss the chance to spark your career now
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